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Record W4210771815 · doi:10.1111/1556-4029.15008

Hangings in Newfoundland and Labrador: A 40‐year retrospective analysis of medical examiner data

2022· review· en· W4210771815 on OpenAlexaffabout
Debra Komar, Nebojša Đenić, Bryan J. Marsh, Niki Rumbolt

Bibliographic record

VenueJournal of Forensic Sciences · 2022
Typereview
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsSt. John’s Health Sciences CentreOffice of the Chief Medical ExaminerHealth Sciences Centre
Fundersnot available
KeywordsDemographyAccidentalMedical examinerMedicinePopulationPoison controlSuicide preventionGeographyInjury preventionSuicide methodsMedical emergencyEnvironmental healthSuicide rates

Abstract

fetched live from OpenAlex

A comprehensive review of medical examiner data was undertaken of all hanging deaths in the Canadian Maritime province of Newfoundland and Labrador from 1982 to 2021. A total of 811 cases were identified representing suicidal, accidental, and undetermined manners of death. Variables examined included age; sex; seasonality; ligature type; location; time since death; prior attempts/suicidal ideation; presence/absence of a suicide note; and presence/absence of alcohol and drugs. Data subsets were generated, and additional analysis was conducted for hangings involving females; suicidal hangings occurring in the region of Labrador; and those who hanged themselves outdoors. Results indicate that females are choosing to kill themselves by hanging in rapidly increasing numbers. Outdoor suicides by hanging were more common in Newfoundland and Labrador (22.1%) than previously reported in Alberta (11.5%), Texas (5%), and Turkey (12-13%). Unique trends in seasonality were revealed, as were repeated incidents of suicidal clusters. The age distribution was skewed strongly toward youths (10 to 22 years of age), particularly in Labrador. Although Labrador represents only 5% of the total provincial population, it produced 20.1% of the total suicidal hangings in the study. The suicide rate in Canada has decreased by 24% over the past 40 years, yet the rates of suicidal hangings nationally and in Newfoundland and Labrador have increased during the same time period. With a better understanding of the circumstances under which people commit suicide by hanging within the province, it may be possible to target at-risk groups to prevent future cases.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.864
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.003
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.150
GPT teacher head0.423
Teacher spread0.273 · 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.

Study designOther design
Domainnot available
GenreReview

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

Citations3
Published2022
Admission routes2
Has abstractyes

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