Contributing to an Evidence-Based Practice in Canadian School Psychology
Bibliographic record
Abstract
The Canadian Journal of School Psychology has established itself as one of the leading scholarly journals in the profession of school psychology. In addition to promoting a Canada-wide version of professional school psychology, CJSP will continue to be an international leader for innovation and contributions to creating an evidence-based profession. CJSP will continue to publish the highest quality research and scholarship that contributes to the practice of school psychology, supports professionals working in schools and clinics, and presents new approaches to support the mental health, learning, and development of children and adolescents. The accomplishments and contents from 2020 are reviewed and a roadmap is described for the future of CJSP.
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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 | 0.208 | 0.391 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.016 | 0.013 |
| Science and technology studies | 0.014 | 0.016 |
| Scholarly communication | 0.025 | 0.008 |
| Open science | 0.007 | 0.017 |
| Research integrity | 0.007 | 0.011 |
| Insufficient payload (model declined to judge) | 0.008 | 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 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".