A longitudinal quasi‐experiment on the effects of posttraining transfer interventions
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Bibliographic record
Abstract
Abstract A longitudinal quasi experiment tested the effects of a relapse prevention and transfer enhancement posttraining intervention on the self‐efficacy, transfer behavior, and performance of a sample of nurses who attended a two‐day training program on the McGill Model of Nursing. ANCOVA results failed to support the effectiveness of the intervention; in fact, participants in the transfer enhancement condition had the lowest transfer behavior and performance except when it was combined with relapse prevention. However, all trainees showed significant increase in self‐efficacy, behavior, and performance. Results are explained based on training program effectiveness, organizational context, and transfer system. A positive transfer climate and factors in the transfer system likely contributed. Implications discussed include the need to conduct a transfer of training needs analysis (TTNA) and a contingency approach to posttraining transfer interventions.
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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 | 0.001 | 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 | 0.001 | 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) | 0.002 | 0.001 |
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