Updating the Competency Profile and Examination Blueprint for Entry-Level Optometry in Canada
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 Optometry Examining Board of Canada (formerly Canadian Examiners in Optometry) is a not-for-profit corporation that administers the entry-to-practice examination for optometrists in Canada in service to its members, the 10 provincial optometry regulators. The described work resulted in an updated entry-level competency profile for optometry, together with an examination blueprint based upon indicators derived from the competencies. The project took place over the period May 2014 – September 2015 and involved the following steps: Establishment of project teams Clarification of conceptual framework Development of proposed competencies Validation of competencies Development of indicators for each competency, consistent with the assessment methodologies used in the entry-to-practice examination Construction of an updated examination blueprint
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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