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Record W4403813569 · doi:10.21428/cb6ab371.b37c80b8

A Method for Evaluating the Adequacy of Police and Coroner Investigations into Suspicious Unnatural Deaths

2024· preprint· en· W4403813569 on OpenAlexaboutno aff
Ted Palys, annie Principle Investigator ross, Steff King, Gail Anderson

Bibliographic record

VenueCrimRxiv · 2024
Typepreprint
Languageen
FieldMedicine
TopicAutopsy Techniques and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsCoronerCriminologyLawPsychologyMedicinePolitical scienceMedical emergencyPoison controlSuicide prevention

Abstract

fetched live from OpenAlex

Canada has witnessed thousands of Indigenous testimonies about the suspicious deaths and disappearances of their loved ones and the deficient or non-existent investigations thereafter. Despite growing attention to Indigenous deaths in inquiries and government apologies, there remains little information at ground level for families on how to challenge investigative practices and few cases that have done so successfully. Our research began when we were invited to evaluate the investigations into the suspicious deaths of three Indigenous youth in Canada. We did so by comparing police and coroner behaviour in those cases to standard practices required by provincial, federal, and international guidelines for police and coroners. Results revealed numerous instances of inadequacy where investigators either did not perform required procedure(s) or did not complete tasks to internationally recognized standards; police and the coroner performed half or fewer of “required” procedures in each of the three cases. An important product of our evaluation is a checklist of standard investigative procedures that other families and communities can use to assess other investigations into questionable deaths that occur in their communities and press for accountability.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.396
Threshold uncertainty score0.585

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.109
GPT teacher head0.470
Teacher spread0.360 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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
Published2024
Admission routes1
Has abstractyes

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