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Record W4410357951 · doi:10.1016/j.ssaho.2025.101550

“It gets your foot in the door”: An examination of the Healthy Apples Self-Care Program at Durham Regional Police Service

2025· article· en· W4410357951 on OpenAlexaff
Rosemary Ricciardelli, Mark Jones, E.G. Cross, Krystle Martin, Stanley R. MacLellan

Bibliographic record

VenueSocial Sciences & Humanities Open · 2025
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsOntario Tech UniversityRegional Municipality of DurhamMemorial University of Newfoundland
Fundersnot available
KeywordsService (business)Foot (prosody)AdvertisingPsychologyGerontologyBusinessMedicineArtMarketing

Abstract

fetched live from OpenAlex

The psychological strain inherent to the policing profession and the effect of psychological strain on sworn and civilian members are increasingly recognized. The effects of stress can be wide-ranging, including an increased risk for occupational or posttraumatic stress injuries. Police services have implemented a variety of wellness programs; however, little is known about the benefits and challenges of these programs. In the current study, we examine one such program, the Healthy Apples Self-Care Program, which entails mental and physical health ‘check-ins’. Semi-structured interviews with 76 police members, sworn and civilian, from January 2024 through April 2024 were completed. In total, 44 men and 32 women were interviewed for this study – 75 % of whom reported using the Healthy Apples Program. Interviews analyzed using a semi-grounded thematic approach. Responses indicated overwhelming support for the program with several benefits identified such as learning about themselves and new psychological skills, facilitating more engagement with mental health resources, and building a culture of wellness. Challenges were also noted such as the lack of time or difficulty with scheduling program activities, lack of access to care providers (i.e., medical doctors), administrative burden of participating, and lack of knowledge about the process. Results provide rich descriptions of aspects of the wellness program and offering strong support for police organizations to provides the program yet highlight pitfalls for organizations to avoid or address. •We studied the Healthy Apples Self-Care Program at a police service. •Program users learned about their health (physical and mental health) by participating in the program. •The program reduced the mystique of and provided comfort when seeing a clinician for mental health. •The program resulted in some participants seeking regular psychological care. •Incentivized health programs support the mental health of civilian and sworn police employees.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.629
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0070.000
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.000
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 head0.183
GPT teacher head0.488
Teacher spread0.305 · 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 designQualitative
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

Citations0
Published2025
Admission routes1
Has abstractyes

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