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Record W2588123164 · doi:10.1080/14927713.2016.1269293

Resurgence and critical youth empowerment in Whitefish River First Nation

2016· article· en· W2588123164 on OpenAlexafffundvenue
Jared Kope, Alexandra Arellano

Bibliographic record

VenueLeisure/Loisir · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsUniversity of Ottawa
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsEmpowermentIndigenousYouth empowermentPoliticsPositive Youth DevelopmentSociologyContext (archaeology)Political sciencePublic relationsGender studiesSocial scienceGeographyLaw

Abstract

fetched live from OpenAlex

Sport/play-based programs are part of new proposed solutions to provide educational and structured opportunities to empower youth and foster social change and community mobilization. While answering a recent call for more research examining these socio-political processes within sport-for-development programs, the purpose of this paper is to explore how the Indigenous youth experiences of the Youth Leadership Program (YLP) from the organization Right To Play could support what Indigenous scholars have called resurgence. This self-conscious traditionalism movement calls for Indigenous critical self-reflection, political thought, and cultural revival that are at the heart of re-empowerment and self-determination. Youth experiences enacted through the YLP are documented through the Critical Youth Empowerment (CYE) model that highlights processes of critical reflection leading to socio-political change. While providing a general appreciation of the YLP program and the application of the CYE model within an Indigenous context, the findings suggest that, to serve resurgence, culture and local knowledge need to be central in empowerment processes and youth programming.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.072
Threshold uncertainty score0.355

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.000
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 head0.047
GPT teacher head0.302
Teacher spread0.255 · 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 designObservational
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

Citations13
Published2016
Admission routes3
Has abstractyes

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