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Record W2049659987 · doi:10.1080/01490400802686011

Leisure-Like Pursuits as an Expression of Aboriginal Cultural Strengths and Living Actions

2009· article· en· W2049659987 on OpenAlexaffabout
Yoshitaka Iwasaki, Judith Bartlett, Benjamin H. Gottlieb, Darlene Hall

Bibliographic record

VenueLeisure Sciences · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversity of GuelphUniversity of ManitobaHealth Sciences CentreManitoba Health
Fundersnot available
KeywordsMetisGender studiesSociologyTheme (computing)Expression (computer science)GerontologyMedicine

Abstract

fetched live from OpenAlex

An Aboriginal-guided decolonizing methodology is employed in this study to examine the leisure-like lived experiences of urban-dwelling Metis and First Nations women and men living with diabetes (N = 42) in Winnipeg, Canada. Directed by the Aboriginal knowledge and world views to ensure cultural sensitivity and relevance, this methodology served as foreground for the voices of the Aboriginal study participants into three key themes of leisure-like pursuits. The first two themes, (1) family, friends, and relationship-oriented pursuits and (2) helping people in community, are closely related within the nature of Aboriginal relationships. The third theme is spiritual and cultural activities. An overarching quality of these leisure-like pursuits is engagement in enjoyable activities that are a meaningful expression of lived culture.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.863
Threshold uncertainty score0.273

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.004
Scholarly communication0.0030.001
Open science0.0000.003
Research integrity0.0000.000
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 head0.021
GPT teacher head0.385
Teacher spread0.365 · 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

Citations33
Published2009
Admission routes2
Has abstractyes

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