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Record W2996182314 · doi:10.1177/0032258x19894619

Demographic and cognitive risk factors for police mental disorder symptoms

2019· article· en· W2996182314 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueThe Police Journal Theory Practice and Principles · 2019
Typearticle
Languageen
FieldPsychology
TopicPosttraumatic Stress Disorder Research
Canadian institutionsUniversity of Regina
FundersCanadian Institutes of Health Research
KeywordsPanic disorderGeneralized anxiety disorderPsychologyMarital statusClinical psychologyAnxiety sensitivityMental healthPsychiatryMajor depressive disorderAnxietyAnxiety disorderCognitionMedicinePopulation

Abstract

fetched live from OpenAlex

The current study was designed to assess whether cognitive risk factors (i.e. anxiety sensitivity (AS), intolerance of uncertainty (IU)) explained variance in mental disorder symptoms in Canadian police officers beyond variance explained by demographic variables (i.e. sex, marital status, education, years of service). Police participants (708 men; 271 women) completed measures assessing posttraumatic stress disorder, panic disorder, social anxiety disorder, major depressive disorder, generalized anxiety disorder, IU and AS. Multivariate analysis of variance demonstrated that only main effects of sex were significant for all symptom variables, except SAD. Hierarchical multiple regressions demonstrated that AS and IU accounted for greater variance than sex on all mental disorder symptom measures, which suggests that cognitive risk factors explain more variance in mental disorder symptoms than sex. Efforts to reduce AS and IU may be beneficial for improving police mental health.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.201
Threshold uncertainty score0.663

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.055
GPT teacher head0.390
Teacher spread0.335 · 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