Sport, Children's Rights and Violence prevention: A Sourcebook on Global Issues and Local Programmes
Bibliographic record
Abstract
UNICEF is the world’s largest child protection agency. The work of UNICEF is delivered through diverse agencies and national settings. Frequently, sport is used by the agency as a mechanism for repairing broken communities after human conflicts or natural disasters. However, sport itself is by no means neutral when it comes to the safety and welfare of the child. In 2007 this issue was recognised as a gap in the provisions of UNICEF. To their credit, and thanks largely to the persuasive powers of Susan Bissell, then working at the UNICEF International Research Centre in Florence, Italy, the staff at UNICEF convened a roundtable of experts in research and policy on welfare in sport. Over the next few years, the group drew together a report on the state of evidence about violence to children in sport and a summary of available prevention policies. This report, authored by Celia Brackenridge (UK), Kari Fasting (Norway), Sandra Kirby (Canada) and Trisha Leahy (Hong Kong) was published as a United Nations Innocenti Research Centre Review in 2010 and entitled Protecting Children from Violence in Sport: A review with a focus on industrialized countries.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.008 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".