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Record W2040278671 · doi:10.1080/14927713.2013.803677

Building Juniper: Chinese Canadian motivations for volunteering and experiences of community development

2013· article· en· W2040278671 on OpenAlexaffvenueabout
Felice Yuen

Bibliographic record

VenueLeisure/Loisir · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicTourism, Volunteerism, and Development
Canadian institutionsConcordia University
Fundersnot available
KeywordsMainstreamSolidaritySociologyContext (archaeology)Agency (philosophy)Sense of communityPublic relationsPopulationCommunity developmentCommunity buildingPolitical scienceSocial psychologyGender studiesPsychologySocial scienceGeography

Abstract

fetched live from OpenAlex

This study highlights the importance of social bonds for Chinese Canadians and the critical role they play in engaging volunteers. The discussion examines the impact of using strong ties in a community development project, and culturally based leisure is presented as a context that can be used to develop and mobilize Chinese Canadian communities. More specifically, the findings of this study suggest that culturally based leisure contributes to community capacity at three levels of social agency (network, organizational and individual) by (1) offering a context for bonding and building solidarity among members of a minority population, (2) providing a framework for integration and adaptation by fostering a sense of belonging and sense of community and (3) acting as a bridge to mainstream society.

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)0.001
metaresearch head score (Gemma)0.000
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 score0.615
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.023
GPT teacher head0.285
Teacher spread0.262 · 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

Citations9
Published2013
Admission routes3
Has abstractyes

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