Enabling critical performativity: The role of institutional context and critical performative work
Bibliographic record
Abstract
Critical performativity has become a promising notion for critical scholars who want to have concrete impact on society. Although the number of studies contributing to this literature has significantly increased in recent years, most of them are still restricted to theoretical debates. Rarely are those who have analyzed empirical cases and explored the institutional context that strengthen or limit the chances of critical projects to be successfully performed in practice. In this article we draw on the case of Popular Cooperative Incubators in Brazil to address this blind spot in current literature on critical performativity. We particularly focus on the institutional context for critical projects to be performative and on how actors shape the institutional context. We develop the notion of “critical performative work” to better show how the combination of institutional theory and critical management studies can help advance critical performativity. We offer both new theoretical contributions and practical suggestions for critical theory to have a larger impact in practice.
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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 | 0.040 | 0.053 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.012 | 0.098 |
| Scholarly communication | 0.022 | 0.017 |
| Open science | 0.002 | 0.016 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".