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Record W4392109219 · doi:10.1080/15614263.2024.2318209

Mental health disorder symptoms among serving Royal Canadian Mounted Police

2024· article· en· W4392109219 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePolice Practice and Research · 2024
Typearticle
Languageen
FieldPsychology
TopicPosttraumatic Stress Disorder Research
Canadian institutionsCanadian Institute for Public Safety Research and TreatmentUniversity of Regina
Fundersnot available
KeywordsMental healthStressorPublic healthPandemicPsychiatryMedicineOccupational safety and healthPopulationPosttraumatic stressCoronavirus disease 2019 (COVID-19)PsychologyEnvironmental healthNursingDisease

Abstract

fetched live from OpenAlex

The Royal Canadian Mounted Police (RCMP) experience extraordinary exposures to diverse occupational stressors, potentially exacerbated by systemic stressors (e.g., public calls for pervasive organizational changes, the COVID-19 pandemic, natural disasters). The current study was designed to assess the mental health of currently serving RCMP (n = 1348) who completed an online survey from June 2022 to February 2023. The positive screening prevalence for any mental health disorder was higher (ps<.05) for current participants (64.7%) than previously reported for RCMP members (50.2%), diverse public safety personnel (44.5%), and the general population diagnostic prevalence (10.1%). Women were less likely (ps<.05) to screen positive for posttraumatic stress disorder and alcohol use disorder than men participants. RCMP participants evidenced substantially more mental health challenges than previous assessments, underscoring urgent and growing needs for proactive, ongoing, evidence-based supports for RCMP mental health, at the individual, organizational, and structural levels.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.438
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0020.002

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 head0.073
GPT teacher head0.493
Teacher spread0.420 · 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