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Record W1866725850 · doi:10.1111/soru.12045

Help‐seeking among Male Farmers: Connecting Masculinities and Mental Health

2014· article· en· W1866725850 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueSociologia Ruralis · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicGender Roles and Identity Studies
Canadian institutionsUniversité Laval
FundersCanadian Institutes of Health Research
KeywordsMental healthPrideRuralityPsychosocialPsychologySocial psychologyMedicineRural areaPsychiatryPolitical science

Abstract

fetched live from OpenAlex

Abstract In many ways, male farmers can be considered to be a vulnerable group in relation to mental health, experiencing high rates of suicide, psychological distress and low use of health services. This study highlights important connections between rurality, farming and masculinities in the context of men's mental health. In‐depth interviews with 32 male farmers from Q uebec, C anada were completed focusing on stress and coping strategies. Findings include informal and formal strategies. Many participants had previous positive experience of formal help and would be willing to use such help again and to recommend it to others in need. Those without such experience are sceptical about services but recognise the courage it requires to seek help. Pride and lack of knowledge about services are the main barriers to help‐seeking, but it can be legitimated in certain contexts, such as divorce or other psychosocial crisis, and by alignment with particular male ideals. Role models at national or local levels can also help farmers prioritise their own and their family's wellbeing over stigmas and rigid, traditional masculine ideals. Furthermore, gender‐based strengths and recommendations for practice are also discussed.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.599
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.033
GPT teacher head0.306
Teacher spread0.273 · 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