Is the current election landscape in Ontario a precursor to what lies ahead in Alberta next spring and nationally next October?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
As we draw nearer to the June 7th election in Ontario, the jabs are firing furiously from all corners of the political battlefield. PC leader Doug Ford insinuated there should be jail time for some Ontario Liberal leaders. Elsewhere, David Herle, co-chair of the Liberal election campaign, called Doug Ford \\"a bit of a dick\\" on live television.Is this sort of behavior a precursor to what lies ahead in Alberta next spring and nationally next October?Guest: Darrell Bricker, CEO of Ipsos Public Affairs and author of \\"The Big Shift\\"-Roy takes calls, and asks if Wynne, Notley and Trudeau are all in danger of being replaced in their next respective elections.(Photo: Chris Young/The Canadian Press)Learn more about your ad choices. Visit megaphone.fm/adchoices
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.
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) | 0.000 | 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) | 0.013 | 0.001 |
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 it