MétaCan
Menu
Back to cohort
Record W3106812205 · doi:10.1027/0227-5910/a000741

Examining Adherence to Suicide Reporting Guidelines in Initial Reports on High-Profile Celebrity Suicides

2020· article· en· W3106812205 on OpenAlex
Therese E. Kenny, Sierra Goldfinger, Stephen P. Lewis

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCrisis · 2020
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsMedicineSuicide preventionContent analysisOccupational safety and healthSuicide methodsPoison controlFamily medicineMedical emergencyPsychologySuicide rates

Abstract

fetched live from OpenAlex

Abstract. Background: Research has found varying adherence by media professionals to recommendations for reporting on suicide. Aims: We compared adherence to recommendations for what to do and what not to do when reporting on suicide in initial reports of high-profile celebrity suicides in major media outlets. Method: A total of 100 articles published in news outlets during 2004–2018 and reporting on celebrity suicides were examined for adherence to reporting guidelines using content analysis. Results: Articles frequently adhered to guidelines for what not to do when reporting on suicide (83%), but rarely adhered to guidelines for what to do (26%). Limitations: This study was a single cross-sectional analysis and may not generalize to different outlets, guidelines, or countries. Conclusion: While news articles frequently do not include harmful information, they also do not include potentially protective content.

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)0.001
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.239
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.259
GPT teacher head0.428
Teacher spread0.168 · 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