MétaCan
Menu
Back to cohort
Record W7011485367

The Murder of Taylor Van Diest (BC)

2019· other· en· W7011485367 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueBulletin of Miscellaneous Information (Royal Gardens Kew) · 2019
Typeother
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic and Business Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSuspectConfession (law)GirlQuarter (Canadian coin)Homicide
DOInot available

Abstract

fetched live from OpenAlex

Episode 070 - In the quiet city of Armstrong B.C. on Halloween night 2011, Taylor Van Diest, 18, left her house dressed as a zombie. She was excited to meet up with her pals to go trick or treating one last time before they were 'too old'. Taylor stopped responding to text messages just over ten minutes into her short walk to her friend's home. She was found badly beaten and clinging to life two hours later by friends and family frantically searching. The fun loving girl with no known enemies died in hospital the next morning. It would take good old fashioned police work coupled with forensic DNA evidence to bring her killer to justice. Sources: Taylor Van Diest Facebook Taylor Van Diest Press Conference (Nov.4/11) Van Diest Suspect DNA (video) RCMPTaylor Van Diest murder suspect (video) R. v. Foerster, 2017 BCCA 105 (CanLII), Killer's Videotaped Confession Foerster Pleads Guilty to Earlier Attacks Foerster Sr. gets three years for enabling murderer's escape 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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.121
Threshold uncertainty score0.960

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.1610.040

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.

Opus teacher head0.010
GPT teacher head0.169
Teacher spread0.159 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it