Chris Benoit - The Canadian Crippler (QC)
Bibliographic record
Abstract
Episode 014: In keeping with the rules of Dark Poutine, this episode is about famed Canadian wrestler and infamous murderer Chris Benoit, also known as the Canadian Crippler. Benoit murdered his second wife Nancy and their seven year old son, Daniel over a three day lost weekend at the end of June in 2007. Benoit then committed suicide himself. Much speculation followed as to Benoit's motives for the horrific crimes. 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) Intro:Mariticide Podcast, thanks to Bryce and Kyla Support the show: https://www.patreon.com/darkpoutine See omnystudio.com/policies/listener for privacy information.
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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 | 0.000 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.527 | 0.050 |
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".