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Record W3105906871 · doi:10.5772/intechopen.93943

Physiological Stress Responses Associated with High-Risk Occupational Duties

2020· book-chapter· en· W3105906871 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

VenueIntechOpen eBooks · 2020
Typebook-chapter
Languageen
FieldNeuroscience
TopicStress Responses and Cortisol
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsStressorPsychosocialOccupational stressPsychological interventionOccupational safety and healthMedicinePsychologyClinical psychologyPsychiatryPathology

Abstract

fetched live from OpenAlex

Occupational stress is a pervasive problem that is relevant across the world. Stress, in combination with occupational hazards, may pose additive risks for health and wellbeing. This chapter discusses the influence of physical and psychosocial stressors on basal cortisol regulation as associated with higher-risk occupational duties among two subspecialties of police officers (frontline and special tactical unit officers). Results reveal significant differences in dysregulated cortisol awakening response associated with the higher risk duties among special tactical unit officers. In contrast, frontline officers with a lower objective occupational risk profiles report higher subjective stress levels. Dysregulated or maladaptive cortisol levels are associated with increased health risk. Thus, individuals working in high stress occupations with elevated cortisol profiles may be at increased risk of chronic health conditions. Results suggest that considering both objective physiological markers and subjective reports of stress are dually important aspects in designing interventions for police officers of differing subspecialties.

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)0.000
metaresearch head score (Gemma)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.622
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.069
GPT teacher head0.280
Teacher spread0.211 · 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