Development through Sport: Building Social Capital in Disadvantaged Communities
Bibliographic record
Abstract
Traditional delivery of sport development programs, especially at the community level, faces particular challenges under neoliberal ideology. While several issues are evident, this paper addresses only the issue of development through sport for disadvantaged communities. It reviews models where sport was employed to develop better community and citizen life outcomes and to deal with social issues previously addressed through “welfare state” processes. These new models flow out of neoliberalist state agendas to assist in fostering social inclusion and in building positive social capital in disadvantaged communities. Examples from England, Scotland, Northern Ireland and Canada are analysed and the implications for the Australian context are discussed. The discussion focuses on best practice success factors such as policy and strategy, partnerships, places and spaces, community/social development, evaluation and monitoring and sustainability. The role of traditional sports clubs and local government in delivering social inclusion programs and the emerging provision of community based sport activities by community/social development organisations is detailed. The implications for sport management, in terms of community development, community sport development and sport policy, are also discussed.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.000 |
| 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".