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Record W7053720456

[학술논문] Adolescent sport, recreation and physical education: experiences of recent arrivals to Canada

2005· other· en· W7053720456 on OpenAlexaboutno aff

Bibliographic record

Venue기초학문자료센터(KRM) (Korea Research Foundation) · 2005
Typeother
Languageen
FieldChemistry
TopicMass Spectrometry Techniques and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsRecreationEthnic groupMetropolitan areaIdentity (music)PerceptionFocus groupPhysical activityLeisure studies
DOInot available

Abstract

fetched live from OpenAlex

This paper explores the perceived benefits and challenges of sport, recreation and physical education participation of culturally diverse adolescent girls and boys who are recent arrivals to Canada. The aim of the research was to further our understanding of the attitudes and experiences of English as a second language (ESL) students. Following from the Ethnicity and Public Recreation Participation Model (Gómez, 2002 Gómez , E. (2002) The Ethnicity and Public Recreation Participation Model , Leisure Sciences , 24 (2) , 123 – 143 . \n[Taylor & Francis Online], [Web of Science ®], , [Google Scholar] \n), we examined the language acculturation, sub-cultural identity and perceived discrimination of ESL students, as well as the perceived benefits and challenges to participation in physical education, sport and recreation. To that end, a questionnaire was completed by 87 upper-level ESL students, and focus group interviews were conducted with a further sub-sample of 40 students, from three metropolitan schools. Drawing on both sets of data, we discuss how perceptions of benefits, challenges and other considerations interplay with gender, ethnicity and participation in sport, recreation and physical education. \n(출처: Taylor & Francis Online, \nhttps://doi.org/10.1080/13573320500111770)

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.276
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0350.000

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 head0.037
GPT teacher head0.374
Teacher spread0.337 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2005
Admission routes1
Has abstractyes

Explore more

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