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Record W2153682321 · doi:10.1108/13639510210429437

Physical evidence of police officer stress

2002· article· en· W2153682321 on OpenAlexaff
Gregory S. Andérson, Robin Litzenberger, Darryl Plecas

Bibliographic record

VenuePolicing An International Journal · 2002
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Performance
Canadian institutionsUniversity of the Fraser Valley
Fundersnot available
KeywordsOfficerStressorPsychologyStress (linguistics)Coping (psychology)Occupational stressDebriefingSocial psychologyClinical psychologyApplied psychologyPolitical science

Abstract

fetched live from OpenAlex

The purpose of the present study was to identify common stressors and the magnitude of stress reactivity in police officers during the course of general duty police work. Using heart rate as a primary indicator of autonomic nervous system activation, coupled with observed physical activity data collected through 76 full shift ride‐alongs, this study differentiates between physical and psycho‐social stress. The results, confirming previous research based on self‐report data alone, demonstrate that police officers experience both physical and psycho‐social stress on the job, anticipating stress as they go about their work, while suffering anticipatory stress at the start of each shift. The results demonstrated that the highest levels of stress occur just prior to and during critical incidents, and that officers do not fully recover from that stress before leaving their shift. Overall, the results illustrate the need to consider stress reactivity and repressors in the assessment of police officer stress while clearly demonstrating the need for debriefing after critical incidents and increased training in stress management and coping strategies.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.175
GPT teacher head0.531
Teacher spread0.356 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations343
Published2002
Admission routes1
Has abstractyes

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