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Record W2126485241 · doi:10.1002/jts.21715

Mexican journalists: An investigation of their emotional health

2012· article· en· W2126485241 on OpenAlex

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

VenueJournal of Traumatic Stress · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicMedia Influence and Health
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsIntimidationSuicide preventionDrugOccupational safety and healthMental healthArousalPsychiatryPsychologyPoison controlMedicineSocial psychologyEnvironmental health

Abstract

fetched live from OpenAlex

Mexican journalists are frequently the victims of violence, often drug related. The purpose of the study was to assess their mental well-being. Of 104 journalists recruited from 3 news organizations, those who had stopped working on drug-related stories because of intimidation from the criminal drug cartels (n = 26) had significantly greater social dysfunction (p = .024); and more depressive (p = .001) and higher intrusive (p = .027), avoidance (p = .005), and arousal (p = .033) symptoms than journalists living and working under threat in regions of drug violence (n = 61). They also had more arousal (p = .05) and depressive (p = .027) symptoms than journalists (n = 17) never threatened before and living in regions without a drug problem. These findings provide preliminary data on the deleterious effects of drug-related violence on the Mexican media, amplifying the concerns expressed by journalist watchdog organizations monitoring the state of the press in the country.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.581
Threshold uncertainty score0.984

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 communication0.0000.001
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 head0.142
GPT teacher head0.329
Teacher spread0.187 · 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