Girls as the ‘New’ Agents of Social Change? Exploring the ‘Girl Effect’ through Sport, Gender and Development Programs in Uganda
Bibliographic record
Abstract
The purpose of this study was to explore how girls in Eastern Uganda experienced a corporate-funded sport, gender and development (SGD) martial arts program. This study used 19 semi-structured in-depth interviews, participant observation and document analysis. Results revealed that while the martial arts program increased the young women's confidence, challenged gender norms, augmented their social networks, improved their physical fitness and was useful for providing them with employment opportunities, the program also attempted to ‘govern’ their sexuality and sexual relations with boys and men by promoting individual avoidance and encouraging the use of self-defense strategies against potential abusers. To conclude, I argue that girl-focused SGD programs such as the one studied here impel young women to be the agents of social change and to cope with the potential resistance (e.g., from some of their family and community members) to their participation in SGD programs by building their self-esteem, confidence and self-responsibility. Despite this – and as the ‘new agents of social change’ – these young women still must navigate the structural inequalities that tend to marginalize their lives in the first place.
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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 | 0.008 | 0.007 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".