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Record W2112108562 · doi:10.1353/hpu.2012.0071

Why Men Experiencing Deep Poverty in Montréal Avoid Using Health and Social Services in Times of Crisis

2012· article· en· W2112108562 on OpenAlexaffabout
Sophie Dupéré, Michel O’Neill, Maria De Koninck

Bibliographic record

VenueJournal of Health Care for the Poor and Underserved · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicGender Roles and Identity Studies
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsPovertyDisadvantagedPsychological interventionQualitative researchPsychologySocial WelfareSociologyGerontologyEconomic growthPolitical scienceMedicinePsychiatrySocial scienceEconomics

Abstract

fetched live from OpenAlex

This article describes the experiences of men living in deep poverty regarding their decision not to seek out health and social services in moments of crisis, even when they recognized needing help. It presents results from a qualitative research project done in collaboration with a community center in a disadvantaged neighborhood of Montreal, Canada. It was designed to increase understanding of men's experiences of poverty and the role played by health and social services in their lives. Data were collected through 80 days of participant observation, 22 semi-directed interviews, and six group discussions with men living in poverty. The results show that these men are reluctant to use health and social services for three main reasons: 1) the nature of their problems; 2) their difficulty in seeking help; 3) the nature of services offered. The paper concludes with implications of the findings for future research and interventions.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.603
Threshold uncertainty score0.790

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.005
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.046
GPT teacher head0.336
Teacher spread0.290 · 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 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

Citations18
Published2012
Admission routes2
Has abstractyes

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