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Record W2903532523 · doi:10.1111/1467-9566.12827

Class‐based masculinity, cardiovascular health and rehabilitation

2018· article· en· W2903532523 on OpenAlexaffabout
Adam Taylor Smith, Alex Dumas

Bibliographic record

VenueSociology of Health & Illness · 2018
Typearticle
Languageen
FieldHealth Professions
TopicObesity and Health Practices
Canadian institutionsUniversity of OttawaMcGill University
Fundersnot available
KeywordsHabitusSocioeconomic statusMasculinitySocial classAutonomySociocultural evolutionSocial inequalityContext (archaeology)GerontologyQualitative researchPsychologyInequalitySociologySocial psychologyDevelopmental psychologyMedicineGender studiesDemographyPopulationGeographySocial sciencePolitical scienceCultural capital

Abstract

fetched live from OpenAlex

Men in economically advanced societies are more at-risk of dying prematurely due to heart disease than women, and this risk is inversely related to their socioeconomic status (SES). While the strong influence of socioeconomic factors on self-management of chronic diseases is important, the impact of masculinity must also be considered. This study examines the social variation in preventive health lifestyles of men from two contrasting socioeconomic groups who have suffered from a cardiovascular incident requiring hospitalization. It draws chiefly on Pierre Bourdieu's sociocultural theory of the practice (habitus and symbolic violence). Qualitative data was collected through 60 in-depth, semi-structured interviews with Canadian men (average age 57.3). Results indicate that participants from both socioeconomic groups share aspirations towards personal fulfilment (achieving a sense of security, preserving autonomy and gaining social recognition) after their heart incident, but apply different strategies in pursuit of these aspirations that have distinctive effects on healthy lifestyles. This study emphasise the importance of drawing on theoretical approaches in public health that have the potential to combine universal with context-specific views of human experience in order further understand health and lifestyle inequalities.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.043
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.004
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.064
GPT teacher head0.448
Teacher spread0.384 · 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 designObservational
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

Citations17
Published2018
Admission routes2
Has abstractyes

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