The Richard Syrett Show - February 28 2022 - Ruling in Favour of Mom who doesn't want Kid Vaxed, "Biden's Border Betrayal", & Defund the CBC
Bibliographic record
Abstract
Catch up on what you missed on an episode of The Richard Syrett Show. She has a Ph.D. in ethics & ancient philosophy, & a Pandemic Ethics Scholar for the Democracy Fund, Dr. Julie Ponesse on Justice A. Pazaratz ruling in favour of a mother who doesn't want the COVID vaccine for her kids. Editor of WND's Whistleblower magazine, David Kupelian on the latest issue \\"Biden's Border Betrayal.\\" Polish Journalist, Adam Borowski appears once again. BC Director at Canadian Taxpayers Federation, Kris Sims discusses defunding the CBC. Rebel News Journalist, Adam Soos gives a legal update on Pastor Artur Pawlowski. Retired US Army Airborne-Ranger, infantry officer, & Author, Lt Col. Robert L. Maginnis gives his take on whether Putin's invasion of Ukraine is backfiring.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.534 | 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".