Bibliographic record
Abstract
In his book The Mangle of Practice and in other writings, Andrew Pickering purports to resolve the question of scientific realism by recasting the debate in terms of his own view “pragmatic” or “performative” realism. This view is informed by a constructivist view of scientific practice. Therefore it is characterised by Pickering as a species of anti-realism that claims to take due account of the both the objective and pragmatic aspects of certain versions of scientific realism. This paper analyses Pickering's claims to have resolved the debate and examines the merits and limitations of his proposed replacement. I show that insofar as Pickering conceives scientific practice as eschewing any position concerning the correspondence of theoretical concepts with nature (either for or against), his position can be compared in several respects to Fine's much discussed alternative to realism, NOA (the Natural Ontological Attitude). I contend that Pickering's proposed “performative realism” is no more successful at resolving the scientific realism question in than is NOA.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.059 |
| Scholarly communication | 0.011 | 0.020 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.010 | 0.009 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".