Preliminary Investigation of a Novel Cognitive Behavioural Therapy Curriculum on the Wellbeing of Middle Schoolers.
Bibliographic record
Abstract
OBJECTIVES: A number of school-based interventions for preventing and attenuating symptoms of anxiety and depression in youth have been developed worldwide but evidence of their effectiveness is mixed. None of these curricula stem from existing children's literature, however, the Harry Potter (HP) series has been identified as potentially imparting Cognitive Behavioural Therapy concepts. METHODS: This study aimed to broadly capture, at an interim stage, the feasibility of a pilot HP curriculum aimed at imparting CBT skills to middle-schoolers in order to inform full development of the curriculum. The study design further included a non-randomized, Group (HP; Control) by Time (Baseline, Post-Intervention, Follow-up) mixed factorial approach retrospectively examining change in scores on a "Well-Being and Resiliency Survey" (WBRS) which assessed multiple symptomatic and social domains. RESULTS: In total, 232 grade seven and eight students participated in the curriculum over two years with no dropouts. Compared to 362 controls, there were no significant differences in WBRS scores between groups at post or one-year follow-up. CONCLUSIONS: This pilot study demonstrated the feasibility of rapid and broad implementation of the intervention. Preliminary analyses showed no indication of effectiveness which may be the product of the intervention being in an interim stage during the study period and/or the retrospective design and limitations in data quality. Specifically, these results suggest that the WBRS may be a suboptimal instrument for measuring the effectiveness of this intervention. A prospective trial of the complete, revised curriculum with validated measures is required to provide an adequately assessment of its impact.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| 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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".