Road to Recovery with Yonah Budd- Saturday, July 23rd, 2022
Bibliographic record
Abstract
On tonight's episode Yonah chats with multiple guests, first Don Trepanier, Program Director of 'The Annex', in St. Thomas, Ontario. The Annex is a new centre to help people dealing with addiction fight for sobriety. He then talks with Dr. Marvin Andujar, assistant professor of computer science and engineering at the University of South Florida, who's studying if 'brain painting' can help college students diagnosed with ADHD.Over the second hour Yonah invites friends of the show Louis March, Founder of the Zero Gun Violence Movement & Marcell Wilson Founder of One by One Movement to talk about public gun violence as well as the 10 year anniversary of Scarborough's Danzig St. shooting. All of that and more on today's episode of Road to Recovery with Yonah Budd.Reach out to Yonah anytime by visiting The Farm Rehab, calling 1-877-777-5808, or emailing the show at roadtorecovery@640toronto.com
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.587 | 0.327 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".