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Reconsidering Structural Realism

2003· article· en· W791193263 on OpenAlexaff
Dan McArthur

Bibliographic record

VenueCanadian Journal of Philosophy · 2003
Typearticle
Languageen
FieldArts and Humanities
TopicPhilosophy and History of Science
Canadian institutionsQueen's University
Fundersnot available
KeywordsScientific realismRealismEpistemologyPhilosophical realismScientific theoryPhilosophyArgument (complex analysis)NothingCommitCritical realism (philosophy of perception)Direct and indirect realismPhilosophy of scienceComputer science

Abstract

fetched live from OpenAlex

In the lengthy debate over the question of scientific realism one of the least discussed positions is structural realism. However, this position ought to attract critical attention because it purports to preserve the central insights of the best arguments for both realism and anti-realism. John Worrall has in fact described it as being ‘the best of both worlds’ that recognizes the discontinuous nature of scientific change as well as the ‘no-miracles’ argument for scientific realism. However, the validity of this claim has been called into question by Stathis Psillos. He questions its ability to correctly account for the examples of scientific change that its supporters, like Worrall (following Poincaré), claim ought to be understood in a structural realist light. In this paper I examine these arguments for and against structural realism and demonstrate that neither Worrall nor Psillos is fully correct. I agree with Psillos’ claim that realism with regards to a theory ought not to be ‘all or nothing,’ that one should not always take the whole of a theory to be true or else commit only to the belief in its directly empirical content.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.838
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.120
GPT teacher head0.214
Teacher spread0.094 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations9
Published2003
Admission routes1
Has abstractyes

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