Kickin' it in 'the Hood:' Soccer and Social Inclusion in Global Toronto
Bibliographic record
Abstract
This dissertation explores if, how, and why participation in a community-based soccer program affected the lives of marginalized immigrant youth in global Toronto. Situated in one of Canada’s most prominent ethnic communities (St. James Town), the researcher chronicles six years of immersive ethnographic fieldwork as a community soccer coach supervising a public intra-sectoral program partnership between a local community recreation centre and a high school. Emergent data was analyzed using a transdisciplinary theoretical approach based upon Affect philosophy’s permeation through diverse fields of social science literature, ranging from (im)migration/urban sociology, post-structural feminism, and post-subcultural youth studies. A Theory of Social Inclusion Through Sport was next advanced that was grounded in the program’s capacity to engage, develop, and integrate local youth in a manner that also facilitated diverse forms of belonging. Though ‘subjective’ (socio-emotional) aspects of inclusion were found to emerge from participation, findings regarding more ‘objective’ (socio-structural) components remained ambiguous. While engagement in programming made youth feel mostly included in their everyday lives, the localized character of their experiences limited community sport’s ability to attend to larger structural forces of exclusion from society. Thus, my findings call into question the capacity of community-based sport programs to facilitate immigrant youth’s full inclusion into society if not augmented by additional forms of social supports. Policy recommendations to attend to this limitation and bolster this program model are advanced in the final chapter. This study should be of interest to scholars within the international fields of sport-for-development and sport sociology who are increasingly examining how sport programs may impact the integration experiences of immigrant youth living ‘on the margins’ of ‘global’ cities.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.009 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".