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Record W7048318456

The Klaus Family Murders (AB)

2019· other· en· W7048318456 on OpenAlexaboutno aff

Bibliographic record

VenueBulletin of Miscellaneous Information (Royal Gardens Kew) · 2019
Typeother
Languageen
FieldPhysics and Astronomy
TopicSuperconducting and THz Device Technology
Canadian institutionsnot available
Fundersnot available
KeywordsObituaryConfession (law)DaughterFront (military)Family memberCousin
DOInot available

Abstract

fetched live from OpenAlex

Episode 072 - On a freezing December morning the Castor Volunteer Fire Department braved the icy Alberta roads to attend a structure fire at a farm a few kilometers outside town. When the firefighters arrived there were red flags evident immediately. The family dog lay dead in the driveway from an apparent gunshot wound, two 9mm casings were nearby as was a partially full gas can which lay only meters away from the front door of the home, now almost burned to the ground. Three people, Sandra and Gordon Klaus, and their adult daughter Monica, had been at home at the time of the unsurvivable inferno. The only member of the immediate family left alive was the couples eldest son and Monicas brother, Jason, who lived in a trailer nearby. Who could have committed horrific acts and why? As the investigation unfolded a bizarre coverup story emerged consisting of communication with the spirits of the deceased. This weeks co-host: Johanna Hemenway Sources: R v Klaus, 2018 ABQB 6 (CanLII), http://canlii.ca/t/hpmwh R v Klaus, 2018 ABQB 97 (CanLII), http://canlii.ca/t/hqf49 R v Klaus, 2017 ABQB 537 (CanLII), http://canlii.ca/t/h5sbp R v Klaus, 2017 ABQB 689 (CanLII), http://canlii.ca/t/hnb4z R v Klaus, 2017 ABQB 720 (CanLII), http://canlii.ca/t/hnz2j R v Klaus, 2017 ABQB 721 (CanLII), http://canlii.ca/t/hnzzk After the Fire: Murder, Lies and a Missing Deer Head Klaus Family Obituary Jason Klaus Police Interview Joshua Frank Confession 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.

How this classification was reachedexpand

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 score0.107
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.1340.027

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 head0.006
GPT teacher head0.187
Teacher spread0.181 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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