"All the immigrant families here are working pretty hard": Perceived parental influence on sport participation in neighbourhood improvement areas in Toronto
Bibliographic record
Abstract
Parents play a fundamental role in children's access, socialization, motivation, and behaviour in sport (e.g., Cote, 1999; Fraser-Thomas, Cote, & Deakin, 2008). As such, this study explored perceived parental support for sport participation among youth and young adults living in Neighbourhood Improvement Areas (NIAs) (i.e., Toronto communities that have higher rates of low-income, poor housing, immigrants, visible minorities, and reliance on social support; City of Toronto, 2014). The research draws upon Ecological Systems Theory (EST; Bronfenbrenner, 2005; Bronfenbrenner & Morris, 1998) and post-colonial feminist theory (PCF) to critically examine proximal (e.g., interpersonal relationships) and distal processes (e.g., social structures and institutions, changes over time), which influenced perceived parental support for sport participation in NIAs. Semi-structured interviews were conducted with 16 youth and young adults, using a narrative inquiry approach (e.g., Smith & Sparks, 2009). Findings offer insight into participants' sport journeys, and youths' perceptions of their parents' expectations and pressures, in the context of the challenges of immigration and settlement. Recommendations for how parental involvement within NIAs could be supported, as proposed by the participants is explored. This research highlights the benefits of adopting an interdisciplinary approach (e.g., sport psychology and sociology) to uncover complexities of parental support for sport 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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".