Integrating Public Health Policy, Practice, Evaluation, Surveillance, and Research: The School Health Action Planning and Evaluation System
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
The Canadian Cancer Society and the National Cancer Institute of Canada have charged their Centre for Behavioral Research and Program Evaluation with contributing to the development of the country's systemic capacity to link research, policy, and practice related to population-level interventions. Local data collection and feedback systems are integral to this capacity. Canada's School Health Action Planning and Evaluation System (SHAPES) allows data to be collected from all of a school's students, and these data are used to produce computer-generated school "health profiles." SHAPES is being used for intervention planning, evaluation, surveillance, and research across Canada. Strong demand and multipartner investment suggest that SHAPES is adding value in all of these domains. Such systems can contribute substantially to evidence-informed public health practice, public engagement, participatory action research, and relevant, timely population intervention research.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.302 | 0.030 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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