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Record W7011892645

NCR: The Death of Brian Smith & Life of Jeffrey Arenburg (ON/NS)

2019· other· en· W7011892645 on OpenAlexaboutno aff

Bibliographic record

VenueBulletin of Miscellaneous Information (Royal Gardens Kew) · 2019
Typeother
Languageen
FieldSocial Sciences
TopicHistorical Geography and Cartography
Canadian institutionsnot available
Fundersnot available
KeywordsShot (pellet)Nova scotiaEstateMagistrateStudioVerdict
DOInot available

Abstract

fetched live from OpenAlex

Episode 095 - On a summer evening in 1995 sportscaster and former NHL hockey player Brian Smith, 54, was shot by a stranger as he exited the CJOH studios in Ottawa, Ontario after a day's work. The two me had never met, but the gunman, a man named Jeffrey Arenburg from Bridgewater, Nova Scotia was convinced that the murder of the beloved sportscaster would bring attention to his plight, and perhaps, put a stop to his thoughts being stolen and broadcast by Smith's TV station. Arenburg, who'd suffered from paranoid delusions for years, and had been in and out of court and hospitals, was found NCR, not criminally responsible, for the murder. Sources: Brian Smith - Wikipedia Jeffrey Arenburg - Wikipedia Ottawa Citizen Articles about Jeffrey Arenburg at Newspapers.com Not Criminally Responsible : Jeffrey Arenburg - The Fifth Estate (YouTube) Not Criminally Responsible assessments - lawfacts.ca Stats on verdicts of not criminally responsible in Canada The Legacy of a Story: Double-Narrative of Jeffrey Arenburg and Brian Smith UNITED STATES v. ARENBURG Bill 68 2000 in memory of Brian Smith Not Criminally Responsible Reform Act 2014 CBC - What does NCR mean? Jeffrey Arenburg, killer of sportscaster Brian Smith, dead of heart attack Brian's Law ruled constitutional Come see Dark Poutine's live show at the Vancouver Podcast Festival at the RIO Theatre at 10:00pm on November 9, 2019!Get your tickets here! 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)0.001
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 score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.1090.002

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 head0.208
Teacher spread0.198 · 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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