GORMLEY - DR. SHAWN WHATLEY & KEVIN MARTENS - APRIL 5
Bibliographic record
Abstract
How does Canada's COVID-19 response compare to other countries? According to new research from the Macdonald-Laurier Institute, not so well. The think tank has published its \\"COVID Misery Index,\\" comparing nations in three categories: disease misery, response misery, and economic misery. Canada performed better than some nations on disease misery, but ranked in the bottom third and well below the global average when it comes to the misery caused by our government response and the economic harms incurred. Dr. Shawn Whatley, physician, health policy expert, and author of \\"When Politics Comes Before Patients: Why and How Canadian Medicare is Failing,\\" joins Gormley to tell us more.AndThere are more than 4,000 charities active around Saskatchewan, and we're embarking on a new project to feature some of the great people doing great work in this province during a brand-new segment we like to call \\"The Best of Saskatchewan.\\" In this week's feature, we're catching up with Kevin Martens, executive director of Light of the Prairies, working to better the lives of those living with intellectual disabilities \\"by raising the standard of support, building healthy relationships, and creating opportunities for them to invest in and be valued by society.\\"
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.716 | 0.103 |
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".