Bibliographic record
Abstract
The Wells Gray Park Murders - BC, CanadaThis case is one of British Columbia, Canada's most horrific mass murders, and the victims surviving family actually needs our help right now!In August 1982, David William Shearing (3 names, never good) stalked a family of 3 generations on a camping trip for days before slaughtering all of them. Listen to find out what he told police happened.... and what really happened.At the end of today's episode we discuss the impact this has on the victims surviving family members and how you can help them keep this grotesque human being behind bars. Link in bio. ? -K&Oxo We want to hear from you CLICK HERE to find out where to follow us! Or go straight to our INSTAGRAM Sources: DAVID SHEARING - THE MONSTER FROM WELLS GRAY PARK - Dying Words 1982 mass murders in B.C. still sicken family, friends | CTV News Man convicted in B.C. park killings granted escorted leave | CBC NewsWells Gray murders | News, Videos & Articles (globalnews.ca) Man responsible for one of B.C.'s most horrifying mass murders can apply for parole again in July - BC | Globalnews.ca Petition growing to keep Wells Gray murderer behind bars | Globalnews.ca Season 1 | Episode 1: The Wells Gray Gunman | CBC TelevisionQuotes from \\"The Seventh Shadow\\" by Detective Michael Eastham https://www.change.org/p/parole-board-of-canada-keep-david-ennis-aka-david-shearing-convicted-mass-murderer-behind-bars-deny-parole?redirect=false - Change.org Petition
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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) | 0.363 | 0.006 |
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".