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Record W2993517075 · doi:10.1080/14927713.2019.1697351

‘I feel like we finally matter’: the role of youth-led approaches in enhancing leisure-induced meaning-making among youth at risk

2019· article· en· W2993517075 on OpenAlexaffvenue
Tristan Hopper, Yoshitaka Iwasaki, Gordon J. Walker, Tara-Leigh McHugh

Bibliographic record

VenueLeisure/Loisir · 2019
Typearticle
Languageen
FieldPsychology
TopicRecreation, Leisure, Wilderness Management
Canadian institutionsUniversity of AlbertaUniversity of Regina
Fundersnot available
KeywordsRecreationMeaning (existential)Meaning-makingPerspective (graphical)Qualitative researchPositive Youth DevelopmentPublic relationsField (mathematics)SociologyPsychologySocial psychologyDevelopmental psychologyPolitical scienceSocial scienceComputer sciencePsychotherapist

Abstract

fetched live from OpenAlex

The purpose of this qualitative case study was to explore how engaging youth at risk through a youth-led approach to recreation and leisure programming can contribute to leisure-induced meaning-making. Seven women (four youth at risk [18–22 years] and three adult recreation practitioners) participated in one-on-one semi-structured interviews. Data were also generated via observation and field notes. A three-phase process of content analysis was used to analyse findings. Findings suggest that youth-led approaches to recreation and leisure programming can contribute to leisure-induced meaning-making by: (a) supporting interests and endeavours; (b) connecting to community; (c) overcoming barriers, together; (d) co-creating safe spaces to be engaged; and (e) developing personal and collective positive outcomes. This research makes theoretical contributions to the leisure literature and provides essential insights regarding proactive engagement of youth at risk and meaning-making for practitioners and policy makers from a practical perspective.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.057
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
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)0.0010.001

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 head0.031
GPT teacher head0.261
Teacher spread0.230 · 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 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

Citations6
Published2019
Admission routes2
Has abstractyes

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