Bibliographic record
Abstract
A $2M report commissioned by the Alberta government advocates for limiting COVID-19 vaccinations, and suggests that health professionals should not face repercussions for promoting alternative treatments. Critics, including the Alberta and Canadian Medical Associations are calling the 269-page report \"anti-science,\" suggesting it attempts to \"rewrite history\" by downplaying the importance of vaccines.2:45 | Dr. Shelley Duggan, president of the Alberta Medical Association, explains why the COVID report is flawed. AMA: https://www.albertadoctors.org/TELL US WHAT YOU THINK: talk@ryanjespersen.com 1:04:00 | We're so proud to partner with YouCan Youth Services. Meet Ethan, a young man transforming his life with supports from YouCan. DONATE TO YOUCAN: https://youcan.ca/1:10:00 | A horrific crash near Washington, D.C. involving a passenger jet and military helicopter claimed every life on board. What can you say in a situation like this? 1:17:30 | Join Jespo at On the Rocks Super Bowl Sunday!TICKETS: https://ontherocksyeg.com/FOLLOW US ON TIKTOK, X, & INSTAGRAM: @realtalkrj & @ryanjespersen JOIN US ON FACEBOOK & LINKEDIN: @ryanjespersen REAL TALK MERCH: https://ryanjespersen.com/merchRECEIVE EXCLUSIVE PERKS - BECOME A REAL TALK PATRON: patreon.com/ryanjespersenTHANK YOU FOR SUPPORTING OUR SPONSORS! https://ryanjespersen.com/sponsorsThe views and opinions expressed in this show are those of the host and guests and do not necessarily reflect the position of Relay Communications Group Inc. or any affiliates.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".