Happy Face Killer - Part 2 - 7 More Murders and Aftermath (BC)
Bibliographic record
Abstract
Episode 028: In part 2 of 2 on the Happy Face Killer, Canadian born serial killer Keith Hunter Jesperson, we learn about 7 more murders of women across the United States, more Happy Face notes and about his Jesperson's eventual capture, trial and his psychopathic public antics in the press and online. NOTE: Scott hates this guy passionately. 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 and PayPal tip jar:darkpoutinepodcast@gmail.com Patreon:https://www.patreon.com/darkpoutine Writer / Creator, Researcher, Editor & Host:Mike Browne (@mikebrowne) Original Music & Cohost:Scott Hemenway (@sdhpics) Promo: All Crime No Cattle Sources: http://murderpedia.org/male.J/j/jesperson.htm http://criminalminds.wikia.com/wiki/Keith_Hunter_Jesperson https://www.amazon.ca/Shattered-Silence-Untold-Killers-Daughter/dp/1599552388 https://www.amazon.ca/Happy-Face-Murderer-Serial-Jesperson-ebook/dp/B019G6DR0S/ http://abcnews.go.com/2020/video/happy-face-killer-speaks-prison-talks-interview-murder-murderer-killings-take-lives-Jesperson-11441251 http://www.bbc.com/news/magazine-29835159 https://www.truckdrivingjobs.com/faq/keith-hunter-jesperson-the-happy-face-murderer-on-the-road.html https://www.youtube.com/watch?v=hibL_QbQuEY https://www.youtube.com/watch?v=98UOydYWWjc https://www.youtube.com/watch?v=rInxdPCWSIo https://en.wikipedia.org/wiki/Keith_Hunter_Jesperson https://web.archive.org/web/20090831063452/http://www.trutv.com/library/crime/serial_killers/predators/jesperson/bodies_3.html http://snapjudgment.org/my-fathers-keeper https://web.ar 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) | 0.753 | 0.042 |
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".