Tuesday, 31 March 2026

The Fiction of Scientific Objectivity: 6 The Scientist as Intersection

At every stage, one figure has remained curiously intact.

The scientist.

The one who:

  • constructs models
  • follows methods
  • evaluates evidence
  • navigates paradigms

Even as objectivity has been reframed, the scientist persists as its bearer:

the subject who knows.

This, too, must be cut.

1. The last guarantor

When objectivity is questioned, it retreats into the subject:

  • if knowledge is not pure, the scientist must be disciplined
  • if bias exists, the scientist must eliminate it
  • if disagreement persists, the scientist must judge correctly

The unity of science is preserved
by locating coherence in the individual.

The scientist becomes the guarantor of objectivity.

But this repeats the same move we have already dismantled.

The illicit unity is internalised.

2. The epistemic subject

The scientist is typically imagined as:

  • a knower
  • a reasoner
  • a decision-maker

A locus where:

  • meaning is held
  • value is applied
  • judgement is made

In other words:

the point at which construal and coordination converge.

But there is no reason to assume such convergence.

3. Re-cutting the scientist

Following the earlier analysis, we proceed differently:

The scientist is not a unified epistemic subject.
It is an intersection of heterogeneous systems.

  • semiotic processes of construal (models, interpretations)
  • systems of value coordination (methods, norms, institutions)

Not integrated.

Not synthesised.

Intersecting.

4. Thinking as participation

From the side of meaning:

The scientist does not possess knowledge.

They participate in:

  • constructing models
  • deploying formalisms
  • actualising phenomena

What appears as “understanding” is:

  • engagement with available semiotic resources
  • under specific constraints

There is no internal store of truths.

Only ongoing construal.

5. Acting as alignment

From the side of value:

The scientist does not freely choose methods.

They align with:

  • disciplinary norms
  • institutional expectations
  • procedural requirements

What appears as “methodological decision” is:

  • participation in coordinated practice

There is no autonomous source of action.

Only structured alignment.

6. Judgement without unity

Scientific judgement is often treated as the integration of:

  • knowledge
  • reasoning
  • evidence

But from this perspective, judgement is:

the point at which intersecting systems produce a stabilised outcome.

  • a model is selected
  • a result is accepted
  • a claim is endorsed

Not because a unified subject has resolved the matter,
but because the intersection has stabilised under constraint.

7. Training the intersection

Becoming a scientist is not acquiring knowledge alone.

It is learning to inhabit the intersection:

  • to construe in disciplined ways
  • to align with accepted practices
  • to recognise valid outcomes

Training produces not a knower,
but a reproducible configuration of participation.

8. The illusion of autonomy

Despite this, the scientist experiences:

  • thinking as internal
  • judgement as personal
  • decision as intentional

This is the same retrospective reconstruction we saw before:

  • coordination becomes intention
  • construal becomes representation
  • coupling becomes belief

The scientist is narrated as a subject
to stabilise the intersection it inhabits.

9. Disagreement revisited

Scientific disagreement now takes on a different shape:

  • not individuals holding different beliefs
  • but intersections stabilising differently
  • different construals under different constraints
  • different alignments within value systems

Conflict is not between minds.

It is between configurations of relation.

10. Responsibility re-situated

What, then, of responsibility?

Surely the scientist is accountable.

Yes—but not because of an underlying unified subject.

Responsibility is:

a function of value systems.

  • attribution of authorship
  • assignment of credit and blame
  • enforcement of norms

These regulate participation.

They do not express an inner essence.

11. The disappearance of the knower

With this, the figure of the scientist dissolves.

Not into nothing.

But into:

an intersection of construal and coordination,
stabilised through practice,
misrecognised as a unified knower.

The guarantor of objectivity disappears.

What remains is the relation.

12. The final step

And with that, the last internal support for the myth of purity is removed.

No:

  • pure knowledge
  • neutral practice
  • unified subject

Only:

  • semiotic construal
  • value coordination
  • their coupling
  • their misrecognition

Next: Post 7 — After Objectivity

Where science, like religion before it, ceases to be a special domain,
and the structure we have traced is followed beyond its borders.

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The Fiction of Scientific Objectivity: 5 Dispute and Paradigm

If objectivity is a stabilised coupling, then conflict in science can no longer be described as a simple failure to agree.

It must be read differently.

Not as error.
Not as deviation from truth.
But as disturbance in the relation that makes objectivity possible.

1. The standard story

Scientific dispute is typically narrated in familiar terms:

  • competing theories
  • conflicting interpretations of data
  • gradual convergence through evidence

Even in more dramatic accounts—“paradigm shifts,” revolutions—the underlying assumption remains:

that science progresses by correcting its understanding of reality.

Disagreement, on this view, is transitional.

Truth waits at the end.

2. The limit of correction

But this story presupposes:

  • a stable object of knowledge
  • a shared standard of evaluation
  • a common ground on which disagreement can be resolved

Once the distinction between meaning and value is held, these assumptions no longer hold.

Because what appears as shared ground is itself:

part of the coupling.

When the coupling shifts,
the ground shifts with it.

3. Dispute as misalignment

Scientific disagreement is not simply:

  • different answers to the same question

It is often:

different configurations of construal and coordination.

  • models that actualise different phenomena
  • practices that stabilise different results
  • standards that privilege different forms of evidence

Under these conditions, disagreement cannot be resolved by appeal to data alone.

Because what counts as data
is already shaped by the coupling.

4. The paradigm reconsidered

The language of “paradigm” attempts to capture this.

Associated most famously with Thomas Kuhn, it points to:

  • shared frameworks
  • disciplinary matrices
  • shifts that are not purely cumulative

But even here, something remains obscured.

Paradigms are often treated as:

  • overarching conceptual schemes
  • ways of seeing the world

In other words, as meaning systems.

What is missed is that paradigms are also:

configurations of coordination.

They include:

  • accepted methods
  • institutional structures
  • norms of validation
  • patterns of training

Without these, the “paradigm” does not hold.

5. Incommensurability reframed

Kuhn’s notion of incommensurability suggests that competing paradigms cannot be directly compared.

From this perspective, the reason becomes clearer:

they are not simply different meanings applied to the same world.

They are:

  • different construals
  • stabilised by different coordinations

There is no neutral ground between them
because there is no uncoupled space of meaning.

6. Transformation, not replacement

When paradigms shift, what changes is not just theory.

It is the relation:

  • new distinctions become available
  • old phenomena disappear
  • practices are reconfigured
  • standards are renegotiated

The coupling is re-formed.

This is not a move closer to truth.

It is a reorganisation of what can be stabilised as objective.

7. The role of crisis

Crises in science are often treated as anomalies:

  • data that do not fit
  • results that cannot be replicated
  • tensions within theory

But anomalies alone do not produce transformation.

They must intersect with:

instability in coordination.

  • when practices can no longer stabilise results
  • when standards lose their authority
  • when institutional alignment weakens

Only then does the coupling begin to shift.

8. Contest and consolidation

During periods of dispute:

  • multiple couplings compete
  • different configurations seek stability
  • participants align with one or another

Resolution does not occur when one theory is proven true.

It occurs when:

one configuration achieves sufficient stabilisation.

  • practices align
  • institutions support
  • training reproduces the new form

Objectivity is re-established.

9. The disappearance of conflict

Once stabilised, the history of dispute is rewritten:

  • past disagreements become errors
  • alternative configurations are marginalised
  • the current coupling appears necessary

The illusion returns.

Objectivity is restored
by forgetting the contingency of its formation.

10. No final paradigm

If paradigms are configurations of coupling, then:

no paradigm is final.

Each is:

  • contingent
  • stabilised under constraint
  • subject to drift and transformation

There is no end point at which science fully aligns with reality.

Only ongoing reconfiguration.

11. The analytic consequence

Scientific conflict is no longer:

  • a problem to be solved
  • a deviation from progress

It becomes:

a window into the structure of coupling itself.

Through dispute, we see:

  • the dependence of meaning on coordination
  • the instability of their relation
  • the processes by which unity is restored

12. The next turn

And once again, the analysis turns inward.

Because even here, one assumption remains:

that there is a scientist
who navigates these paradigms,
who chooses between them,
who believes, evaluates, and decides.

Next: Post 6 — The Scientist as Intersection

Where the figure of the scientist is subjected to the same cut,
and the unity of the epistemic subject dissolves into relation.

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The Fiction of Scientific Objectivity: 4 The Coupling of Objectivity

If models are construals and practice is coordination,
then the central claim of science stands exposed:

objectivity.

Not as an ideal.
Not as an aspiration.
But as a supposed property of knowledge itself.

1. The claim of objectivity

Objectivity is typically understood as:

  • independence from perspective
  • freedom from bias
  • access to reality as it is

It marks the point where meaning is said to detach from value.

Where knowledge becomes:

pure.

But this claim presupposes exactly what cannot be sustained:

that meaning can exist without coordination.

2. No view from nowhere

If all meaning is construal, then:

  • there is no access to an unconstrued world
  • no representation without selection
  • no description without distinction

Every model:

  • includes some relations
  • excludes others
  • stabilises a particular configuration

Objectivity cannot mean absence of perspective.

Because there is no such thing.

3. The hidden partner

At the same time, every model depends on:

  • protocols
  • norms
  • institutional validation

These are not optional.

They are what allow construal to stabilise.

Which means:

objectivity always already involves coordination.

Yet this coordination is systematically disavowed.

4. Reframing objectivity

Once the distinction is held, a different formulation becomes possible:

Objectivity is not a property of meaning.
It is a relation between construal and coordination.

  • construal produces phenomena
  • coordination stabilises their production
  • their coupling is experienced as objectivity

Objectivity is what it feels like
when the coupling holds.

5. Stability mistaken for truth

When a model:

  • generates consistent results
  • can be reproduced
  • aligns across practitioners

It appears to have captured something “real.”

But what has been achieved is:

stable coupling under constraint.

The same phenomena recur
because the same conditions are maintained.

Truth is the name given
to this stability.

6. The invisibility of coordination

The more stable the coupling,
the less visible its components.

  • protocols recede into background
  • norms appear self-evident
  • practices become “just how things are done”

Coordination disappears.

Meaning appears autonomous.

This is the condition of objectivity.

7. Disagreement revisited

Scientific disagreement is often framed as:

  • competing interpretations of data
  • different theoretical commitments

But from this perspective, disagreement signals:

divergence in the coupling.

  • different construals under different constraints
  • different coordinations stabilising different results

What appears as dispute over truth
is often misalignment of relation.

8. The role of consensus

Consensus is frequently treated as:

  • convergence on truth

But consensus is also:

alignment of coordination.

  • shared methods
  • agreed standards
  • mutual recognition

When coordination aligns,
construal appears unified.

Objectivity emerges.

9. Crises of objectivity

Moments of crisis—replication failures, paradigm tensions—are revealing.

They are not simply:

  • failures of method
  • errors in reasoning

They are:

breakdowns in the coupling.

  • coordination no longer stabilises construal
  • results diverge
  • expectations collapse

Objectivity falters
because the relation cannot hold.

10. No retreat to relativism

To say that objectivity is a relation
is not to deny its force.

Some couplings are:

  • more stable
  • more widely reproducible
  • more effective at coordinating practice

They carry weight.

They matter.

But this is not because they are closer to a view from nowhere.

It is because:

they are more successfully stabilised.

11. The inversion completed

We can now complete the inversion:

  • Objectivity is not the absence of value
  • It is the successful coordination of value
    in such a way that it disappears from view
  • Objectivity is not pure meaning
  • It is meaning under stabilised coordination,
    misrecognised as independent

12. After objectivity

What follows from this is not the abandonment of science.

But a shift in how it is understood:

  • models as construals
  • practices as coordination
  • objectivity as relation

Science does not lose its power.

It loses its myth.

13. The next step

If objectivity is a coupling,
then its stability must be maintained.

Which raises the final question:

what happens when that stability is disrupted from within?

Next: Post 5 — Dispute and Paradigm

Where scientific conflict is re-read not as error or revolution,
but as transformation in the coupling itself.

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The Fiction of Scientific Objectivity: 3 Practice Without Neutrality

If models are not innocent, then neither is what sustains them.

We now turn from construal to coordination.

Not to what science says,
but to what it does.

1. The background assumption

Scientific practice is typically treated as neutral ground:

  • a set of procedures
  • a method for testing hypotheses
  • a transparent pathway from observation to knowledge

On this view:

  • practice serves meaning
  • method guarantees objectivity
  • coordination is merely instrumental

But this inherits the same illusion:

that meaning can exist without value.

2. Practice as system

What appears as neutral procedure is, in fact, highly structured:

  • protocols define acceptable action
  • methodologies prescribe sequences
  • standards regulate outcomes
  • institutions enforce compliance

These are not meanings.

They are patterns of coordination.

They determine:

  • who can participate
  • how participation is recognised
  • what counts as success or failure
  • when a claim is taken as valid

This is not the expression of knowledge.

It is the production of order.

3. Method as norm

“Method” is often invoked as if it were purely logical:

  • follow the method
  • eliminate bias
  • let the data speak

But method does not operate in a vacuum.

It is:

normative coordination, stabilised and naturalised.

  • certain procedures are required
  • others are excluded
  • deviations are sanctioned

What appears as rational necessity
is sustained as institutional expectation.

4. The choreography of the laboratory

Consider the laboratory:

  • instruments calibrated in specific ways
  • experiments conducted under controlled conditions
  • observations recorded according to standard formats

This is not just technical.

It is choreography.

Bodies, tools, and time are coordinated:

  • actions synchronised
  • roles distributed
  • sequences enforced

Meaning does not organise this.

Value does.

5. Peer review and the regulation of legitimacy

Scientific claims do not become valid simply by being made.

They must pass through:

  • peer review
  • editorial processes
  • disciplinary scrutiny

These are not epistemic filters alone.

They are mechanisms of coordination:

  • aligning participants
  • stabilising standards
  • enforcing boundaries

They determine not just what is true,
but what can count as truth.

6. Replication as alignment

Replication is often treated as the gold standard of objectivity:

  • if a result can be reproduced, it is real

But replication is not merely verification.

It is:

the successful re-coordination of practice across contexts.

To replicate is to:

  • align procedures
  • match conditions
  • reproduce constraints

When replication fails, it is not simply that truth is absent.

It is that coordination has broken down.

7. Training the scientist

Scientific practice is not intuitively obvious.

It must be learned:

  • through education
  • through apprenticeship
  • through immersion in disciplinary norms

What is transmitted is not just knowledge.

It is:

a way of acting.

  • how to design an experiment
  • how to interpret results
  • how to write a paper
  • how to recognise a “good” question

These are not meanings.

They are forms of participation.

8. Neutrality as effect

Despite all this, practice appears neutral.

Why?

Because the coordination is:

  • stabilised
  • repeated
  • institutionally reinforced

Over time, it is no longer seen as coordination.

It becomes:

  • method
  • rigour
  • objectivity

Neutrality is not a property of practice.
It is an effect of its successful stabilisation.

9. The disavowal continues

At every point, the same move is made:

  • coordination is redescribed as logic
  • norm is redescribed as necessity
  • alignment is redescribed as truth-seeking

The value system disappears into the background.

What remains is the illusion:

that science operates on meaning alone.

10. The coupling holds

And yet, the structure is the same as before:

  • models construe
  • practices coordinate
  • their relation is stabilised
  • and misrecognised as unity

Only here, the narrative is inverted:

not unity of meaning and value,
but purity of meaning from value.

11. The cost of denial

This denial has consequences.

When coordination is invisible:

  • its constraints cannot be examined
  • its exclusions cannot be questioned
  • its transformations cannot be understood

Problems appear as:

  • errors in method
  • failures of reasoning
  • anomalies in data

Rather than:

shifts or breakdowns in coordination.

12. The next step

If scientific practice is a value system that sustains models,
and if models are construals rather than representations,

then the central claim of science must be re-examined:

objectivity itself.

Next: Post 4 — The Coupling of Objectivity

Where objectivity is no longer treated as a property of knowledge,
but as a stabilised relation between meaning and value.

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The Fiction of Scientific Objectivity: 2 Models Without Innocence

If the purity of science is a myth, then its central product must be reconsidered.

Not the laboratory.
Not the institution.
But the model.

Models are typically treated as the point at which science touches reality:

  • representations of underlying structures
  • approximations of how the world is
  • tools for prediction and explanation

Even when acknowledged as imperfect, they are still assumed to aim at something beyond themselves.

This assumption now has to go.

1. Against the mirror

The dominant image is simple:

the world exists independently, and models reflect it—more or less accurately.

But this image depends on a separation that cannot be sustained:

  • a world “as it is”
  • and a model that represents it

From the perspective already established, there is no access to an unconstrued world.

There are only:

phenomena actualised through construal.

A model does not stand apart from what it describes.

It participates in bringing it forth.

2. Construal, not representation

This is the decisive shift.

A scientific model is not:

  • a picture of reality
  • a symbolic proxy
  • a passive mapping

It is a semiotic operation:

  • selecting distinctions
  • organising relations
  • stabilising patterns
  • enabling certain phenomena to appear

Different models do not represent the same thing differently.

They actualise different phenomena.

3. The discipline of constraint

This does not mean anything goes.

Scientific models are not arbitrary.

They are:

disciplined construals under constraint.

Constraints include:

  • prior models and theoretical commitments
  • experimental setups
  • mathematical formalisms
  • institutional expectations

These do not ensure truth.

They ensure stability and reproducibility of construal.

4. Precision without innocence

Scientific models are often extraordinarily precise.

They:

  • predict outcomes
  • generate technologies
  • coordinate large-scale action

This precision is frequently taken as evidence that they must be:

tracking an underlying reality.

But precision does not imply innocence.

It indicates:

that the construal is highly stabilised under constraint.

The model works—not because it mirrors the world,
but because it reliably produces the same phenomena under specified conditions.

5. Multiplicity without contradiction

Once representation is set aside, a familiar problem dissolves.

How can multiple, incompatible models coexist?

  • wave vs particle descriptions
  • competing formalisms in different domains
  • alternative modelling frameworks within the same field

From a representational view, this is a crisis.

From a construal view, it is expected.

Different models do not compete to describe the same reality.

They operate within different conditions of actualisation.

6. The role of mathematics

Mathematics is often taken as the guarantor of objectivity:

  • abstract
  • formal
  • independent of context

But within this framework, mathematics is:

a resource for construal.

It provides:

  • structured ways of drawing distinctions
  • stable relations that can be iterated
  • constraints that discipline variation

It does not anchor models to reality.

It stabilises how phenomena are brought forth.

7. From truth to viability

If models do not represent, what are they evaluated for?

Not truth in the correspondence sense.

But:

  • viability
  • stability
  • reproducibility
  • scope of application

A model is successful if it:

  • holds under specified constraints
  • coordinates practice effectively
  • continues to generate usable phenomena

Truth becomes a retrospective label
for successful, stabilised construal.

8. The illusion of discovery

Scientific practice is often described as discovery:

  • uncovering what was already there
  • revealing hidden structures
  • finding the laws of nature

But if phenomena are actualised through construal, this language misleads.

Science does not uncover a pre-given world.

It extends the range of what can be brought forth as phenomenon.

What is discovered is not “out there,” waiting.

It is made available
through disciplined semiotic work.

9. The coupling reappears

At this point, the earlier analysis returns.

Because models do not operate alone.

They are always embedded within:

  • practices
  • institutions
  • norms of validation

Which means:

their stability depends on value coordination.

The model construes.
The system coordinates.
Their coupling is misrecognised as objective knowledge.

10. No retreat to relativism

This position will again invite a familiar misreading:

“If models don’t represent reality, then anything is as good as anything else.”

No.

Because construal is always under constraint.

Not all models stabilise.

Not all generate reproducible phenomena.

Not all coordinate practice effectively.

The difference is not between truth and error.

It is between:

  • viable and non-viable construals.

11. The cost of clarity

What is lost here is comforting:

  • the idea that science tells us how the world really is
  • the sense of standing on solid ontological ground

What is gained is sharper:

  • an account of what models actually do
  • an understanding of their limits and power
  • a way to analyse scientific practice without illusion

12. The next step

If models are disciplined construals, and their stability depends on coordination,

then the next question is unavoidable:

What kind of system maintains this coordination while denying that it exists?

Next: Post 3 — Practice Without Neutrality

Where the everyday machinery of science is re-read
as a value system that stabilises the appearance of objectivity.

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The Fiction of Scientific Objectivity: 1 The Myth of Purity

Science presents itself with a remarkable claim.

Not always explicitly.
Not always philosophically defended.
But enacted, institutionalised, and widely assumed:

that it produces meaning purified of value.

1. The inheritance of purity

Where religion fused meaning and value, science appears to separate them.

  • religion: meaning grounds value
  • science: meaning is independent of value

On this view:

  • scientific knowledge represents the world as it is
  • values enter only afterward—ethics, application, policy

This is the myth.

Not because science fails to achieve purity,
but because purity is not a coherent possibility to begin with.

2. Meaning is never neutral

From the perspective already established, scientific knowledge is not:

  • a mirror of reality
  • a transparent representation
  • a passive recording of what is “out there”

It is semiotic construal.

  • models are constructed
  • distinctions are drawn
  • phenomena are actualised under specific conditions

There is no access to an unconstrued world.

Only different ways of bringing phenomena forth.

This is not a limitation.

It is the condition of meaning itself.

3. The disavowal of value

At the same time, science insists—often implicitly—that:

  • its procedures are neutral
  • its standards are objective
  • its practices are governed by reason alone

Value is displaced:

  • into ethics committees
  • into funding decisions
  • into “external” social considerations

What remains, supposedly, is pure meaning.

But this separation does not hold.

Because what appears as neutral procedure is already:

structured coordination.

4. Practice as coordination

Consider the mundane realities of scientific work:

  • experimental protocols
  • peer review
  • replication standards
  • citation practices
  • disciplinary boundaries

These are not meanings.

They are patterns of coordinated action:

  • who can speak
  • what counts as evidence
  • how results must be produced
  • when claims are accepted or rejected

They stabilise expectation.

They regulate participation.

They enforce alignment.

In other words:

they are value systems.

5. The illusion of separation

So we have:

  • semiotic construal (models, theories, descriptions)
  • value coordination (protocols, norms, institutions)

And once again:

no shared ground.

Yet science appears uniquely capable of keeping them apart.

Why?

Because the coupling is:

  • tightly regulated
  • highly institutionalised
  • constantly reinforced

And crucially:

systematically denied.

6. Purity as misrecognition

The claim of purity is not a property of science.

It is a misrecognition of the coupling.

  • coordination is redescribed as method
  • constraint is redescribed as logic
  • alignment is redescribed as objectivity

What is in fact a relation between systems
is reconstrued as a property of knowledge itself.

7. The work of maintenance

This misrecognition does not sustain itself automatically.

It requires continuous labour:

  • training scientists to see method, not coordination
  • framing disagreement as error, not misalignment
  • excluding alternative articulations as “unscientific”

Institutions play a central role:

not in producing truth,
but in stabilising the appearance of purity.

8. When purity cracks

As with religion, the structure becomes visible under strain:

  • persistent disagreement between fields
  • shifting standards of evidence
  • controversies that cannot be resolved by data alone
  • replication crises

These are often treated as failures.

But they are better understood as:

moments when the coupling can no longer sustain the illusion of separation.

9. Not a critique of science

At this point, a familiar defensive reaction appears:

“Are you saying science is just politics? Just belief? Just power?”

No.

This would repeat the very reduction we have already rejected.

Science is not reducible to value.

Just as religion is not reducible to meaning.

The claim is sharper:

science, like religion, is a coupled system without ground, misrecognised as unified—
in this case, as pure meaning.

10. The inversion

Religion says:

meaning and value are one.

Science says:

meaning is free of value.

Both are structurally impossible.

What exists in both cases is:

  • semiotic construal
  • value coordination
  • their coupling
  • their misrecognition

Only the narrative differs.

11. The consequence

Once the myth of purity is withdrawn, science does not collapse.

It becomes visible.

  • models are seen as construals
  • practices as coordination
  • objectivity as stabilised relation

Not weakened.

But clarified.

12. The next step

With purity removed, a more precise question emerges:

If scientific meaning is not neutral representation,
what kind of construal is it?

Next: Post 2 — Models Without Innocence

Where scientific models are treated not as mirrors of reality,
but as disciplined acts of semiotic actualisation.

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