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
Peer review guides the intensive reworking of research reports, a key mechanism in the construction of social scientific knowledge and one that gives substantial creative agency to journal editors and reviewers. We conceptualize this process in terms of two types of challenges: evidentiary challenges that question a study’s methodology and interpretive challenges that question a study’s theoretical framing. A survey of authors recently published in Administrative Science Quarterly finds that their peer review experience was dominated by interpretive challenges: extensive criticisms, suggestions, and subsequent revision concerning conceptual and theoretical issues but limited attention to methodological and empirical aspects of the work. Salient differences between original submissions and published papers include intensive reworking of theory and discussion sections as well as growth and turnover in citations and hypotheses. We consider implications of the dominance of interpretive challenges in successful revision and possible sources of variation across scholarly fields.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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