The Richard Syrett Show - Sep 29, 2023 - Origins of Orange Shirt Day, Arrest Made in Tupac Shakur Murder Case, & What's Killing America?
Bibliographic record
Abstract
Today on the Richard Syrett Show: Senior Fellow with the Frontier Centre for Public Policy Brian Giesbrecht shares the origins of Orange Shirt Day. Elie Cantin-Nantel, Journalist at True North News, discusses a Humber College group seeking to help caucasian staff \\"unlearn\\" their \\"whiteness\\". National Crime Columnist for the Toronto Sun Brad Hunter has more on a groundbreaking arrest made in connection with the 1996 murder of Tupac Shakur. Plus, the LimRiddler shares this week's LimRiddle.Our feature interview for today is Jason Rantz. Jason is the author of \\"What's Killing America: Inside the Radical Left's Tragic Destruction of Our Cities\\", and the host of \\"The Jason Rantz Show\\". He discusses his new book which answers the question - what's killing America? Mike Karafilidis, Play-By-Play Announcer for the Mississauga Steelheads, has more ahead of the trout's opening night tonight.
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 | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.079 | 0.005 |
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".