Constructing Consequences for Noncompliance
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
We examine academic research laboratories as examples of intractable governance sites. These spaces often elude regulatory warnings and rules because of the professional status of faculty members, the opacity of scientific work to outsiders, and loose coupling of policy and practice in organizations. We describe one university’s efforts to create a system for managing laboratory health, safety, and environmental hazards, thereby constraining conventional faculty habit to ignore administrative and legal procedures. We demonstrate the specific struggles safety managers face in creating system responsiveness, that is, feedback to re-channel noncompliant laboratory practices. We show how faculty members are buffered from the consequences of their activities, thus impeding the goals of responsibility and accountability. We conclude by asking where such pockets of intractability reside in other organizations and whether the surrounding buffer, if there is one, may nonetheless paradoxically create an effective margin of safety.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.025 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it