Bibliographic record
Abstract
Institutional work concerns the way in which the activities of actors contribute to the evolution of institutions, whether through their creation, disruption or maintenance. In this paper, we argue that the notion of “test”, as developed by conventionalist theory, provides an innovative lens through which to examine the nature of institutional work and the evolution of institutions. Conventionalist theory posits that constitutive value frameworks guide individuals’ behaviors and provide the legitimating systems for their actions. It pays particular attention to moments of questioning of these value frameworks, and how they may affect existing legitimate practices and principles. Such moments of test provide a remarkable opportunity for understanding institutional work as they allow a close examination of three key dimensions associated with actors’ questioning or reproduction of constitutive value frameworks: agency, relationality and temporality. We suggest that an analytical focus on moments of test can foster more systematic attention to these dimensions, and productively contribute to ongoing research on how and why institutions may be disrupted, maintained, or created in a diversity of situations.
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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 | 0.009 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.006 | 0.111 |
| Scholarly communication | 0.012 | 0.015 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".