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
Episode 005, takes on the case of filmmaker and wannabe serial killer Mark Twitchell from, Edmonton Alberta. Mark Twitchell liked the Phantom Menace. That had to be where the problem started. CONTENT WARNING: Dark Poutine is not for the faint of heart or squeamish. Our content contains mature themes, coarse language and may include graphic descriptions of violent crimes. Listener discretion is strongly advised. Web: http://darkpoutine.com/ Facebook: https://www.facebook.com/darkpoutine/ Twitter: https://twitter.com/darkpoutinepod Instagram: https://www.instagram.com/darkpoutine/ Email: darkpoutinepodcast@gmail.com Writer / Creator, Researcher & Host: Mike Browne (@mikebrowne) Audio Production, Original Music & Cohost: Scott Hemenway (@sdhpics) Support the show: https://www.patreon.com/darkpoutine See omnystudio.com/policies/listener for privacy information.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.362 | 0.015 |
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