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Record W2995653867 · doi:10.1080/01490400.2019.1700573

Parental perceptions of a national program that funds sport participation for low-income children and youth in Canada

2019· article· en· W2995653867 on OpenAlexaffabout
Marianne Clark, Christa Costas-Bradstreet, Nicholas L. Holt, John C. Spence

Bibliographic record

VenueLeisure Sciences · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Transport and Accessibility
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsThematic analysisSubsidyRecreationPerceptionYouth participationPublic relationsPsychologyQualitative researchPolitical scienceSociology

Abstract

fetched live from OpenAlex

Purpose The financial costs associated with organized sport and recreation programs can act as salient barriers to child and youth participation. Programs that provide financial assistance to parents to support engagement may help alleviate these barriers, however little is known about how these programs actually impact families. This study examined the perceptions of parents who received funds from one such program (KidSport) in Eastern Canada.Method Semi-structured interviews were conducted with 14 parents who had received KidSport funding in the previous two years. Participants were systematically recruited from two communities in the province of Nova Scotia and asked how funding impacted their children’s sport and PA participation. Data were subject to thematic analysis.Results Financial support helped parents facilitate their children’s sport participation, which yielded important social benefits for both parents and children. However, parents were still required to navigate overlapping and intersecting barriers related to time constraints, transportation demands, and high enrollment fees often overlooked in the literature.Conclusions Families living in low income face complex and intersecting barriers that inhibit young people’s activity engagement. Programs that fund or subsidize child and youth sport and PA can help alleviate these barriers and provide social benefits for both parents and children. Future research is needed that considers the complexity of intersecting barriers and works to create more equitable provisions for young people’s sport and PA participation.

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 score0.343
Threshold uncertainty score0.386

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 integrity0.0000.000
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 head0.027
GPT teacher head0.324
Teacher spread0.297 · 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

Citations19
Published2019
Admission routes2
Has abstractyes

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