Mayor Nenshi, Frontline Fund, NS Shooting Update, Youthlink, U.S Covid-19 and Virtual Ramadan
Bibliographic record
Abstract
Welcome to The Morning News Podcast for Friday, April 24th.The Morning News begins with their weekly chat with Mayor Naheed Nenshi. The Mayor discusses yesterday's announcement on the cancellation of this year's Calgary Stampede and the Calgary Folk Festival and provides more details on the current Social Distancing guidelines which will now be in place through the summer months.It's a great way to help out during the Coronavirus Crisis. Sue and Andrew learn about the Frontline Fund which supports more than 100 hospitals across the country.Sue and Andrew get the latest on the tragedy in Nova Scotia. Global News Halifax Reporter, Sarah Ritchie, has more details on how the grim events started over the weekend.The Morning News heads stateside for a COVID-19 update. Sue and Andrew are joined by Jackson Proskow, Washington Bureau Chief for Global News, who discusses Donald Trump's suggestion that disinfectant might be an option for treatment of the Coronavirus.Finally- Ramadan is observed by Muslims around the world starting this weekend. In light of the pandemic, Sue and Andrew hear how the community is going online to stay connected.
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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 | 0.001 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.377 | 0.004 |
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".