Understanding frame‐of‐reference training success: a social learning theory perspective
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
Employing the social learning theory (SLT) perspective on training, we analysed the effects of alternative frame‐of‐reference (FOR) training protocols on various criteria of training effectiveness. Undergraduate participants ( N = 65) were randomly assigned to one of four FOR training conditions and a control condition. Training effectiveness was determined via trainee reactions, learning and rating accuracy. The results partially supported the study hypotheses: compared to the control group, the more comprehensive FOR training conditions evidenced: (1) significantly higher rating accuracy; (2) significantly higher levels of learning; and (3) more favorable reactions to the training. The discussion focuses on the implications of the results for protocol development when designing FOR training programs.
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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 | 0.000 |
| 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