Effective engagement of survivors of harassment and abuse in sport in athlete safeguarding initiatives: a review and a conceptual framework
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Sport, as a microcosm of society, is not immune to the abuse of its stakeholders. Attention to abuse in sport has recently become a priority for sport organisations following several high-profile cases of athlete abuse from different sports around the world. Resulting from this increased awareness, many sport organisations have commenced work in the field of athlete safeguarding including the development of policy, educational programmes, reporting pathways, investigation mechanisms and research initiatives. One mechanism adopted by many sport organisations to support their safeguarding efforts is the engagement of survivors of abuse in sport: typically, as guest speakers at conferences or educational events. Unfortunately, many sport organisations do not have the knowledge or trauma-informed expertise to engage survivors safely and effectively; and in doing so, may unintentionally retraumatise the survivor if erroneous methods of engagement are employed. For some survivors, this experience may compound the original harms, and thus it also represents an area of vulnerability for the organising entity. The purpose of this paper is to explore the rationale for partnering with survivors of abuse in sport in safeguarding initiatives and to propose a living conceptual framework to support effective and safe survivor engagement in safeguarding initiatives. We will explore the underpinning scientific background, as well as the 'why', and 'how' of survivor engagement to inform sport organisations, research scientists, policy-makers, conference organisers, safeguarding officers, sport medicine clinicians and survivors themselves.
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.
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 | 0.013 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it