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Youth Development Through Recreation: Eurocentric Influences and Aboriginal Self-Determination

2013· book-chapter· en· W2489107594 on OpenAlexaboutno aff
Alana Rovito, Audrey R. Giles

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldPsychology
TopicRecreation, Leisure, Wilderness Management
Canadian institutionsnot available
Fundersnot available
KeywordsFieldnotesRecreationOriginalityValue (mathematics)SociologyThe artsPublic relationsSocial sciencePolitical scienceQualitative researchComputer scienceEthnographyAnthropology

Abstract

fetched live from OpenAlex

Abstract Purpose – In this chapter we examine the creation and implementation processes of an arts-based recreation programme for Aboriginal youth development in Canada called Outside Looking In (OLI) to determine if and how OLI’s staff and Board members perceive the programme to be influenced by Eurocentric ideas of programming and the impact this may in turn have on achieving Aboriginal self-determination. Design/methodology/approach – Informed by postcolonial theory, we employed a case study design and collected data using semi-structured interviews, fieldnotes and a review of archival documents. Findings – We contend that while OLI reproduces some aspects of Eurocentric programming, it also provides avenues to contribute to Aboriginal self-determination. Research limitations – A limitation to this research is the absence of interviews with OLI’s programme participants; nevertheless, this research provides a starting point upon which future research can build. Originality/value – Our research provides an insight into how youth development through recreation programmes for Aboriginal peoples are created and implemented. Most importantly, it provides evidence of the need to further reflect upon the ways in which such programmes can enable Aboriginal self-determination.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.937
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
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)0.0070.002

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 head0.033
GPT teacher head0.302
Teacher spread0.270 · 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; both teacher heads agree on what is shown here.

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

Citations5
Published2013
Admission routes1
Has abstractyes

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