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Record W7015336596

Social support, material circumstance and health : understanding the links in Canada's aboriginal population

2007· dissertation· en· W7015336596 on OpenAlexaboutno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2007
Typedissertation
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsSalience (neuroscience)PopulationSocial determinants of healthValue (mathematics)Social supportPopulation healthSocial integrationQuality (philosophy)Community health
DOInot available

Abstract

fetched live from OpenAlex

Societies that foster high quality social environments and integration produce healthier populations. The mechanisms underlying the protective effect of social integration appear to be through various forms of social support. In the Canadian Aboriginal context, few authors have explored the relationship between health and social support. This gap in understanding is significant because Aboriginal frameworks of health point to the salience of larger social structures (i.e., family), yet patterns of population health point to distinctly social causes of morbidity and mortality (e.g., violence, alcoholism). An interesting paradox emerges: patterns of Aboriginal health suggest that social support is not working to promote health. This dissertation explores this paradox through a mixed-methods approach to describe the value of social support for Aboriginal health, and to critically examine the social-structural processes and mechanisms through which social support influences Aboriginal health at the community level. Principal components analyses of the 2001 Aboriginal Peoples Survey (APS) identified social support as a consistent dimension of Metis and Inuit health, and multivariable logistic regression modelling of the 2001 APS identified social support to be a significant determinant of thriving health among Indigenous men and women (e.g., those reporting their health as excellent/very good versus good/fair/poor). The results also indicate a distinct social gradient in thriving health status and social support among Aboriginal Canadians. Narrative analyses of 26 interviews with Aboriginal Community Health Representatives point to two key explanations for the health-support paradox: (i) social support is not a widely accessible resource; and (ii) the negative health effects of social support can outweigh the positive ones. The formation of health behaviours and cultural norms - which underpin social supports - are inextricably tied to the poor material circumstances that characterize Canada's Aboriginal communities. The thesis concludes with a critical examination of the processes through which environmental dispossession has influenced the determinants of Aboriginal health, broadly speaking. Effects are most acute within the material and social environments of Aboriginal communities. More research attention should focus on identifying the pathways through which the physical, material and social environments interact to influence the health of Aboriginal Canadians.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.058
Threshold uncertainty score0.423

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0100.006
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.030
GPT teacher head0.331
Teacher spread0.302 · 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

Citations1
Published2007
Admission routes1
Has abstractyes

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