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Masculinities, diet and senior Punjabi Sikh immigrant men: food for Western thought?

2010· article· en· W1594592418 on OpenAlexafffundabout
John L. Oliffe, Suki Grewal, Joan L. Bottorff, H. Bindy, Kristy H. A. Kang, Amanda Ward, T. Gregory Hislop

Bibliographic record

VenueSociology of Health & Illness · 2010
Typearticle
Languageen
FieldHealth Professions
TopicObesity and Health Practices
Canadian institutionsBC Cancer AgencyLangara CollegeOkanagan University CollegeUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
FundersCanadian Institutes of Health Research
KeywordsImmigrationMasculinitySpiritualityFood habitsIdeologyGender studiesGerontologyAcculturationWestern dietMedicineSociologyObesityEnvironmental healthGeographyPolitical scienceAlternative medicinePolitics

Abstract

fetched live from OpenAlex

The high rates of diabetes and cardiovascular disease among Punjabi Sikh (PS) men are often linked to diet. Although some high fat and sugar foods in both traditional and Western foods negatively influence these illnesses, little is known about what underpins PS immigrant men's dietary practices. This article details the connections between masculinities and diet to reveal how varying gendered ideals can inform and influence the practices of senior PS Canadian immigrant men who attended community-based men's groups. Participants' masculine ideals and their alignment to those ideals were deeply rooted in spirituality and traditional cultures, which shaped the use of specific foods and beverages, yet there was also evidence that the availability and affordability of dairy products and alcohol in Canada strongly influenced men's diets. While the men's group leaders educated attendees about diet, ideologies reinforcing ties between femininities and the cooking of meals often prevailed. Linkages between participants' masculine ideals and dietary practices were both similar and discordant with the findings reported in studies of Western men. The findings drawn from this study may direct what, how and where dietary messages are targeted to senior PS Canadian immigrant men.

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)0.005
metaresearch head score (Gemma)0.001
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 score0.612
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
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 head0.056
GPT teacher head0.430
Teacher spread0.373 · 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

Citations34
Published2010
Admission routes3
Has abstractyes

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