Implementing an Organizational Trauma-Informed Approach to Olympic Sites: An Urgent Priority to Protect Elite Athlete Well-being During Olympic Games Participation
Bibliographic record
Abstract
Abuse has been acknowledged as an adverse event which leads to trauma and long-term health effects in sport. Given the high rates of abuse occurring in elite sport contexts, many Olympic athletes will not only be subjected to abuse while residing and competing at the Olympic Games but may also experience trauma and its effects. In this article, we build on the calls for a trauma-informed approach in elite sport to outline a rationale for the International Olympic Committee (IOC) to implement an organizational trauma-informed approach to Olympic sites. Such an approach is essential because trauma researchers outside, and inside sport contexts, have outlined that when organizations are not trauma aware, and practices are not trauma-informed, unintended “unsafe” responses may result. To contextualize our rationale for an organizational trauma-informed approach, we provide examples of Olympic athletes’ stories to demonstrate the abuse and trauma they experienced while competing at the Olympic Games. To build on the human right that all athletes participating in the Olympic Games have the right to do so safely and free from harm, we further outline what an organizational trauma-informed approach involves and why it is important to limit re-traumatization risk. We further reflect on how being trauma-informed extends a duty of care to better protect athletes, which should be a responsibility of the IOC.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".