Do you get encouraged by all of these sports betting advertisements? Improving women's health in developing nations & Will a change to Canada's MAiD rules make it seem like we're trying to euthanize the poor?
Bibliographic record
Abstract
If you spend any amount of time with your eyes open, you'll see an advertisement for some gambling site. Does constantly getting bombarded by these ads at all time of day make you want to place a bet or change the channel?Guest: Rick Zamperin, Host of Good Morning Hamilton & The 5th Quarter, News Director & Sports Director, 900 CHML-With Mother's Day only days away, Scott welcomes Dr. Jean Chamberlain who's done incredible work to improve women's health in developing nations. How is this being accomplished and how can you help this Mother's Day?Guest: Dr. Jean Chamberlain Froese, M.D.; Obstetrician, St. Joseph's Healthcare; Professor of Obstetrics, McMaster University; Co-Founder of Save the Mothers-Canada's rules surrounding who can access Medical Assistance in Dying (MAiD) may be changing in the not too distant future and that's made for a lot of controversy. What should qualify someone for MAiD and are morals something that should be considered in this conversation?Guest: Dr. Sonu Gaind, Chief of Psychiatry & Medical Director of Mental Health, Humber River Hospital; Co-Director of Adult Psychiatry Health Systems Division, Department of Psychiatry, University of Toronto
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.189 | 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".