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Record W2339438557

An Examination of the Association of Métis Youth's Recreation Participation and Academic Retention

2011· dissertation· en· W2339438557 on OpenAlexaboutno aff
Carissa Bakker

Bibliographic record

VenueUWSpace (University of Waterloo) · 2011
Typedissertation
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsnot available
Fundersnot available
KeywordsRecreationAssociation (psychology)PsychologyPolitical scienceGerontologyClinical psychologyMedicine
DOInot available

Abstract

fetched live from OpenAlex

Aboriginal Peoples are an underrepresented population in the Canadian work force. This is partially due to barriers to educational attainment among Aboriginal Peoples. One way to enhance educational attainment is through recreation and leisure participation. The purpose of this study was to develop an understanding of how recreation and leisure participation is associated with academic retention among Métis youth. It is a secondary analysis of the 2006 Aboriginal Peoples Survey, Métis supplement. Using a sub-sample of 27,270 Métis youth (ages 15 – 17) who had not completed a high school diploma, high school retention was assessed and compared by participation in physical, sedentary, civic engagement, and traditional leisure activities.
\nOlder Métis youth, those living in urban areas, and those who had moved more times in the previous five years, were more likely to be not currently attending school. However, when examining leisure activities, those who participated in more physical leisure activities and were members of a club were more likely to be attending school. The aim of this study was to determine if recreation and leisure activities are associated with Métis youth academic retention. The results showed that some forms of leisure participation were associated with staying in school, and it is recommended that policies should be put in place to encourage recreation and leisure participation as it is associated with academic retention, which may enhance Métis youths’ employment prospects.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.621
Threshold uncertainty score0.963

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.032
GPT teacher head0.259
Teacher spread0.227 · 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.

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

Citations0
Published2011
Admission routes1
Has abstractyes

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