Call for Submissions for Special Issue Focused on School Community Health and Wellness
Bibliographic record
Abstract
The Canadian Journal of Action Research (CJAR) and the Canadian Association of Action Research in Education (CAARE) invite manuscripts for a special themed issue that will focus upon school community health and wellness, and/or its related disciplines such as— but not limited to—physical education, health education, physical activity, sport, recreation, play, outdoor learning, social determinants of health, mental health literacy, and comprehensive school health/health promoting schools. Authors are encouraged to submit manuscripts that focus upon the application of action research related to any of these topic areas. Full final manuscripts are due by December 15, 2023. Authors should indicate in their accompanying letter to the editor that they wish for their manuscript to be considered for publication in the School Community Health and Wellness Special Issue. The anticipated publication date is spring/summer 2024. Please download the PDF for more information.
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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 | 0.010 | 0.055 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.015 | 0.006 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.552 | 0.304 |
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".