Bibliographic record
Abstract
The study explored the potential social benefits and motivations of participation in sport beyond those that pertain solely to healthy active living. Using organized youth ice hockey in Canada, the study also examined how cultural context can be a factor in the facilitation of such benefit, as well as the ways the game can reflect and reproduce inequalities in society more generally. A framework based on Pierre Bourdieu’s assertions on social, cultural, economic, and symbolic capital, was used to analyze data from ten semi-structured interviews with men who are former youth hockey players. The interview data revealed that through hockey – as a heteronormative institution – boys and men forge rich and extensive social networks, as well as acquire the linguistic skills, attitudes, and dispositions that help them to bond in a private and exclusive manner. Furthermore, their participation in an activity increasingly limited to the middle-to-upper class allows them to be socialized among this demographic, thus making economic capital – through job opportunities, for example – highly extractable from their social and cultural capital. To a certain extent, participants also derived a sense of connectedness to a Canadian national identity due to their participation in an activity that proliferates in their national context. Nevertheless, the study identifies a number of opportunities and constraints that create disparities in participation, and as such, the allocation of benefits. Since these inequalities in sport may help to reproduce inequalities in society at large, the study closes with recommendations for policy, programs, and future research.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.016 | 0.008 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".