Becoming an Occupation? A Research Agenda Into the Professionalization of the Sport for Development and Peace Sector
Bibliographic record
Abstract
Sport for Development and Peace (SDP) has transformed from what some termed a “social movement” to an institutionalized sector with numerous organizations and practitioners involved, resulting in trends that point toward SDP becoming a recognized category of work through professional training. The purpose of this paper is to utilize theories of professions and institutional isomorphism to advance the significance and importance of thinking about SDP as a profession. Three emerging trends that point to the professionalization of SDP are reviewed: (a) increasing opportunities to attain SDP certifications and training, (b) the growing number of SDP-specific academic degrees, and (c) the creation of a SDP knowledge base, particularly in relation to monitoring and evaluation. To conclude, theoretical and practical implications of the professionalization of SDP are discussed and a research agenda is outlined for future research on the continued institutionalization, and professionalization, of the SDP sector.
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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 | 0.007 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.016 |
| Scholarly communication | 0.012 | 0.011 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".