Serial Killer: Michael Wayne McGray (NS, BC, QC, NB)
Bibliographic record
Abstract
Episode 061 - In the spring of 1985, 17-year-old Elizabeth Gail Tucker went missing when hitchhiking from Dartmouth to Southwestern, Nova Scotia. Tucker was the first of many murder victims, from a very diverse pool, of one of Canada's coldest and most outspoken serial killers, Michael Wayne McGray. McGray was convicted of 7 murders, one of which happened after years in custody. McGray remorselessly admits to as many as 10 more murders and claims, given the chance, he would do it again and again. Podcasts Promoted: Murderish The Fear of Science Research Assistance: Rebecca McNall Sources: Michael Wayne McGray WikipediaSerial Killer Michael Wayne McGray Crime Documentary - YouTube Michael Wayne McGray Case | The Canadian Encyclopedia Michael Wayne McGray | Murderpedia, the encyclopedia of murderers Global News audio clips Newspapers.com BC Cornoner's Verdict on in custody death of Jeremy Michael Phillips (PDF) Serial killer describes killing cellmate | CBC News 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) | 0.001 | 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.403 | 0.031 |
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".