Jeff Semple, Tasha Kheiriddin, Kids in Isolation, Reggie Cecchini. Mark Asberg
Bibliographic record
Abstract
Welcome to The Morning News podcast for Wednesday, March 25th.The Morning News takes a look at the approval of the Federal Government's 82-Billion Dollar financial aid package which was passed early this morning. Global News Senior Correspondent Jeff Semple joined the show with the details.Next - Sue and Andrew look at how the Coronavirus Pandemic is creating a \\"Survivalist Economy\\". They learn exactly what that means and how the effects could change consumerism down the line.Isolation is certainly taking a toll on children. With no playgrounds, playdates or sleepovers, The Morning News get advice from a Youth and Family Psychologist on how you can help your kids through this tough time.As COVID-19 continues to ramp-up Sue and Andrew catch up with Global's Washington Correspondent Reggie Cecchini.Local libraries may be closed, but that doesn't mean you can't get still get your library fix. The Morning News learns about the Calgary Public Library's CEO online offerings.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.367 | 0.009 |
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".