Applicability of Entry to Practice Examinations for Optometry in Canada
Bibliographic record
Abstract
High-stakes assessment for entry-to-practice is a critical component for the optometric profession's regulatory bodies in carrying out their duties to assure safe, effective, and ethical practice by their respective registrants. In 2019, the College of Optometrists of Ontario approved the acceptance of the United States (US) entry-to-practice examination for optometry, the National Board Examiners in Optometry (NBEO®), as an acceptable alternative assessment for the Canadian entry-to-practice examination, the Optometry Examining Board of Canada (OEBC). This decision was not unanimously supported in stakeholder feedback. In this paper, the development and structure of the two assessments are described. A global consensus framework is applied to identify the appropriateness of the assessments for Canada, and a similar change in entry-to-practice for nursing is examined for contextual correlates. Although intrinsically satisfactory for their respective jurisdictions, the NBEO® does not appear to satisfy the critical criteria of validity and acceptability for Ontario or, more broadly, Canada. Cultural and systemic differences between the Canadian and US health systems were also identified as additional barriers. Lastly, major future vulnerabilities for the profession lie in the availability of the entry-to-practice examination to all Canadians, Anglophone and Francophone.
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How this classification was reachedexpand
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 | 0.013 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.010 | 0.008 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".