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Record W4224816981 · doi:10.3390/ijerph19095224

Public Safety Personnel Family Resilience: A Narrative Review

2022· review· en· W4224816981 on OpenAlexafffund
Marilyn Cox, Deborah Norris, Heidi Cramm, Rachel Richmond, Gregory S. Andérson

Bibliographic record

VenueInternational Journal of Environmental Research and Public Health · 2022
Typereview
Languageen
FieldHealth Professions
TopicWorkplace Health and Well-being
Canadian institutionsThompson Rivers UniversityQueen's UniversityMount Saint Vincent University
FundersCanadian Institutes of Health Research
KeywordsVulnerability (computing)NarrativeStressorPsychological resiliencePsychologyPerceptionSocial psychologyClinical psychologyComputer security

Abstract

fetched live from OpenAlex

The families of public safety personnel (PSP) face demands that are unique to these occupations. Nonstandard work, trauma exposure, and dangerous work environments affect both workers and the families who support them. This narrative review aims to identify the stressors that PSP families experience and the support and resources needed to enhance family resilience. Due to a lack of research on PSP families, this review is a necessary first step to summarizing and interpreting a diverse body of research. The studies included addressed structural and emotional work-family conflict with reference to PSP sectors. A framework from the military family resiliency literature interprets the findings. Factors influencing family functioning and the availability and accessibility of resources provide clues about the type of skills and supports that PSP families rely on. Meaning-making, collaboration, a sense of coherence, and communication were identified as themes associated with intrafamilial processes. Extrafamilial themes included public perceptions, a lack of recognition for the roles families fulfill, and the need for information and education. The results suggest that the vulnerability of PSP families is variable and extrafamilial resources in the form of formal and informal supports are necessary to enhance family resiliency.

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 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)0.022
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.949
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0220.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0030.000
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0000.007
Insufficient payload (model declined to judge)0.0060.000

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 head0.253
GPT teacher head0.521
Teacher spread0.269 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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

Citations29
Published2022
Admission routes2
Has abstractyes

Explore more

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