Gilbert Paul Jordan - The Boozing Barber (BC)
Bibliographic record
Abstract
Episode 015: Gilbert Paul Jordan, a.k.a. the Boozing Barber, loved to drink and carouse with women. Between 1965 and 1987 nine women died of acute alcohol poisoning while in his company, while four others came close. Although police knew about Jordan's involvement in theier deaths. his prey were the down on their luck indigenous women from Vancouver's downtown East Side. Cops tended believed him when he told them he found them that way, even though he was a violent and sadistic career criminal. Women like that die every day down town. He was only ever charged with one murder and how that turned out was shocking too. 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 advisedWeb: 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) Intro: LeftBehind Podcast 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.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.727 | 0.025 |
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".