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Record W2736586363

Having opportunities: Children's experiences in a youth recreation centre in a neighbourhood of low socioeconomic status

2011· article· en· W2736586363 on OpenAlexaff
Megan L. Langager, Nancy Spencer-Cavaliere

Bibliographic record

VenueJournal of Exercise, Movement, and Sport · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsRecreationSocioeconomic statusNeighbourhood (mathematics)Thematic analysisFocus groupPlace attachmentPsychologyQualitative researchTheme (computing)SociologyDevelopmental psychologySocial sciencePolitical science
DOInot available

Abstract

fetched live from OpenAlex

Low socioeconomic status (SES) can negatively influence children's development (Bradley & Corwyn, 2002). While research has demonstrated that participation in out-of-school programming can contribute positively in this area, few studies have explored the perspectives of the children who take part in these programs. Place attachment, the conceptual framework employed in this study, is useful for exploring children's experiences with regard to their attachment or bonding to a place and the role that social relationships play in that attachment process (Low & Altman, 1992). The purpose of this qualitative case study was to perform an in-depth exploration of the experiences of children of low SES who participated in a community recreation program (UrbanKidz Youth Centre). Seven children took part in drawing activities and semi-structured interviews. Additional data were collected using observations, field and reflective notes, a focus group interview with adult staff and document analysis. The overarching theme of Having Opportunities emerged from the thematic analysis of the data. The children talked about having opportunities at the centre in three main ways: (a) opportunities to do , (b) opportunities to connect , and (c) opportunities to be . These themes, and by extension, the children's experiences, are discussed within the framework of place attachment (Scannell & Gifford, 2010), and the literature on place, SES and out-of-school programming. Implications for recreation programming and research with children of low SES are also presented.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.929

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.035
GPT teacher head0.257
Teacher spread0.223 · 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

Citations0
Published2011
Admission routes1
Has abstractyes

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