Ethical dimensions of the global sport for development and peace sector
Bibliographic record
Abstract
The global sport for development and peace (SDP) sector is loosely comprised of various stakeholders that organise and advocate for the role of sport in meeting the goals of international development and peace building. The foundational claim of SDP is that when organised thoughtfully or consciously, sport programmes can make a contribution to health promotion, gender empowerment, community cohesion and conflict resolution (among other goals) on an international scale. In this paper, I highlight some key ethical issues within the SDP field, to draw attention to the ethics of organising sport for development. Control and power over underclasses, the romanticisation of sport, and the political ideology of development are all discussed. I conclude by suggesting that only through an ethical engagement with SDP are such programmes likely to succeed in achieving some sustainable, positive development outcomes. It is through self-reflection by SDP stakeholders on issues of control, mythmaking and ideology that SDP can best succeed.
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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 | 0.023 | 0.018 |
| 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 | 0.057 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.006 | 0.010 |
| 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".