How sport changed my life? Description of the perceived effects of the experiences of young Colombians throughout a sport for development and peace program
Bibliographic record
Abstract
This study contributes to the advancement of the field of Sport for Development and Peace (SDP) research in Latin America and the Caribbean (LAC). There are still few studies on SDP programs in this region and it is important to document and understand the impacts of these programs on participants. The present study is the result of a collaborative research that aims to describe the experiences and perceptions of Colombian youth and program managers who participated in an SDP program that took them from a local community sports club to the Olympic Games. Seven semi-structured interviews were conducted with key actors (administrators, coaches, and athletes) who participated in a triple and transversal (local, district and national) Olympic walking training program. The results provided a better understanding of the program dynamics in the local, regional, and national level, as well as of the short- and long-term effects perceived by the actors of the process on their development, education, health, and career. Recommendations are made for SDP organizations in LAC. Future studies should continue to investigate the SDP initiative in LAC to understand how sport can help development and peace building in this region.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| 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".