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Leisure, Biculturalism, and Second-Generation Canadians

2011· article· en· W101812201 on OpenAlexaffabout
Susan Tirone, Ashley Goodberry

Bibliographic record

VenueJournal of Leisure Research · 2011
Typearticle
Languageen
FieldPsychology
TopicRecreation, Leisure, Wilderness Management
Canadian institutionsDalhousie University
Fundersnot available
KeywordsBiculturalismEthnic groupSociologyDiversity (politics)Gender studiesMeaning (existential)PsychologyAnthropology

Abstract

fetched live from OpenAlex

This paper focuses on biculturalism, leisure, and it explores diversity within the leisure experiences of second-generation Canadians whose parents emigrated from South Asia. The participants' lives and leisure were shaped by their biculturalism—the way in which they identified as south Asian and Canadian, embracing and retaining aspects of their traditional South Asian culture, while adopting and adapting to the culture of the dominant Canadian society in which they were raised. The study found that leisure helped incorporate parts of both traditions and reconcile the differences between the two cultures by providing opportunities to draw the two sets of traditions together. This integration was accomplished by introducing family and ethnic friends to dominant group practices and likewise introducing dominant group friends into their traditional minority ethnic traditions. The longitudinal nature of the study provided a sense of the sequence of meaning making over a ten-year period.

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)0.002
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 score0.055
Threshold uncertainty score0.123

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0140.004
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.239
GPT teacher head0.409
Teacher spread0.170 · 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

Citations24
Published2011
Admission routes2
Has abstractyes

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