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
This study investigated the potential moderating effects of productivity norms and identifiability of effort on the cohesion-performance relationship in team sports. The design was a 2 (high cohesion, low cohesion)× 2 (high productivity norm, low productivity norm)× 2 (high identifiability of an individual’s effort, low identifiability of an individual’s effort) factorial. Each participant (n = 324) read one of eight scenarios, with cohesion, norms, and identifiability systematically rotated, and indicated the probability that the individual would train during the off-season. An ANOVA showed a main effect for cohesion, F( 1, 316) = 113.44, p < .0001, and norms, F( 1, 316) = 19.61, p < .0001), and an interaction between cohesion and norms, F( 1, 316) = 7.35, p = .007. The probability of off-season training was significantly higher for the high-cohesion-high-norms scenario than for the high-cohesion-low-norms scenario, with no differences under conditions of low cohesion. Directions for future research are discussed.
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 | 0.000 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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