From Performativity to Representation <i>as</i> Intervention: Rethinking the 2008 Financial Crisis and the Recent History of Social Science
Bibliographic record
Abstract
Abstract Performativity has been one of the most dynamic research programmes in the last few decades that has sought to move beyond conventional, positivistic understandings of science. This paper interrogates the central premise of performativity – that science makes rather than describes its phenomena – through a critical analysis of the hugely influential performativity turn in economic sociology. The paper argues that while the performativity turn has importantly highlighted how economic theory shapes economic practices, its conflation of economic theory and its objects of analysis renders it unable to recognize economic processes that are not identified by economic models themselves. To address this limitation, this paper then proposes an alternative account, representation as intervention, that retains the critical impulse of exploring how economic models reshape economic life without conflating theories and their objects.
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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 | 0.020 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.007 | 0.115 |
| Scholarly communication | 0.014 | 0.017 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
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".