Mandatory Continuing Professional Competencies: Making the Case for Modification of Ontario Regulation 566
Bibliographic record
Abstract
The Canadian Institute of Public Health Inspectors (CIPHI) has acknowledged the importance of having a competent membership. As a result, it developed the Continuing Professional Competencies Program in 2010 to assist its members in maintaining their skills, knowledge, and expertise, and to formally recognize these activities. Participation in this program is mandatory for CIPHI members; however, membership is not compulsory in order to practice as a public health inspector (PHI). As a result, PHIs in Ontario do not have to participate in an organized system to maintain and document their continuing professional competency. To this end, the CIPHI Ontario Branch is seeking to have Ontario Regulation 566 Qualifications of the Board of Health Staff, under the Health Protection and Promotion Act R.R.O. 1990, revised to include the requirement for continuing professional development for PHIs.
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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 | 0.045 | 0.098 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.008 | 0.008 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.007 | 0.003 |
| Research integrity | 0.015 | 0.012 |
| Insufficient payload (model declined to judge) | 0.005 | 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".