What was it like being a prisoner in Alcatraz? How is a local cannabis company educating people on marijuana? What's it like being an NHL draft prospect?
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
Back in October, marijuana was legalized in Canada. Despite this, many people still aren't fully educated about its effects and how it works. How is a new company based in Hamilton working on changing that?Guests: Brandon Clark & Mike Denkiewicz, co-owners of The Treehouse Cannabis Company-Many young hockey players dream of playing in the NHL and for a few of them, it becomes their reality but before they do that, a team has to draft them to their roster. A local player is looking to be chosen at this Friday's draft, what's going through his mind and how does it work from the players' side of the draft?Guest: Jamieson Rees, NHL draft prospect-The legendary island prison, Alcatraz, is steeped in mystery and legend. What was it actually like to serve a prison sentence on 'The Rock' and does it live up to the legends? Scott asks one of the 6 surviving prisoners, Inmate #1259.Guest: William \\"Bill\\" Baker, former Alcatraz prisoner
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.002 |
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