Bibliographic record
Abstract
A lthough it was a short visit I was very pleased to represent CAO and participate in the convocation ceremonies for the School of Optometry at the University of Montreal.The setting was high on a hill in the beautiful Pavillon Roger -Gaudry, which was built in 1943 and is still considered a modern day architectural masterpiece (see photo).I was given the royal treatment of being seated on stage with other university dignitaries, given the opportunity to speak and was formally introduced.Dr. Lise-Anne Chasse, President of the Order (College) also presented congratulations and participated in the diploma presentations for those already decided to be licensed to practice in Quebec.Fifteen donor/sponsors (CAO being one) contributed $500.00 each towards awards, which were presented in six categories -contact lenses, vision sciences, pharmacology, binocular vision, low vision, ophthalmic optics and one 'overall'.Special recognition was given to the IRIS Group for their contribution to the dispensary renovation and the Greiche & Scaff Group for their four
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.020 | 0.006 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 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; both teacher heads agree on what is shown here.
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".