How Theatre Aquarius' new program will help the future of theatre in Canada, What would make voting more enticing to Hamiltonians & The Toronto Maple Leafs have a new GM but is it enough?
Bibliographic record
Abstract
Theatre Aquarius will be introducing a massive new program that will serve as an incubator for new shows all of kinds as they go through the development and rehearsal process. How will this change theatre productions not just here in Hamilton but across the country?Guest: Kelly Straughan, Executive Director, Theatre Aquarius-Following the municipal election, the City of Hamilton had their auditor look a bit closer into the voter turnout. Surprise, surprise there wasn't a lot of voters. Why is this and how can we make it more enticing for Hamiltonians to go out and vote?Guest: Charles Brown, City Auditor, City of Hamilton-The Toronto Maple Leafs have a new GM! Who is it and why him over anyone else? Is this the move that will finally bring the Stanley Cup to Toronto?Guest: Steven Ellis, Associate Editor, Daily Faceoff
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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) | 0.001 | 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 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.027 | 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".