‘Only by speaking out can we create lasting change’: what can we learn from the Dr Larry Nassar tragedy?
Bibliographic record
Abstract
> As it turns out… Dr Nassar was not a doctor, he in fact is, was, and forever shall be, a child molester and a monster of a human being. End of story. He abused my trust, he abused my body and he left scars on my psyche that may never go away. > > McKayla Maroney, Olympic Gold Medallist, London 2012. Dr Larry Nassar was sentenced on 24 January 2018 to 40–125 years in prison in Eaton County and 40–175 years in Ingham County, Michigan, USA, for first-degree criminal sexual conduct in addition to 60 years in Federal court for child pornography. During the court proceedings, 156 women who call themselves the ‘army of survivors’, spoke about their abuse experiences in emotional and powerful victim impact statements. In the course of his professional career, Dr Nassar is alleged to have sexually abused approximately 256 female athletes from 1998 to 2015, often in front of parents. His victims were mainly gymnasts, some as young as 6 years of age. For some victims, the abuse occurred repetitively, up to 10 years in duration. Dr Nassar stated that his ‘medical treatments’ (which were invasive pelvic floor ‘therapy’ where he would digitally penetrate girls’ vaginas and anuses) would cure physical injuries. He abused them in his clinic, his home, at training camps and at competition venues where he treated them alone in his hotel room, often after having sedated the athlete with sleeping pills. Dr Nassar referred to himself as the ‘body whisperer’.1 What is unique about this sexual abuse case is that Dr Nassar is an osteopathic sport medicine physician. One of our colleagues. One of our fraternity. Larry was the physician for the USA Gymnastics team and worked at four Olympic Games. He was a practising sport medicine physician for a prestigious university in the NCAA collegiate system in the USA, …
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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 | 0.017 | 0.065 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.020 |
| Scholarly communication | 0.017 | 0.027 |
| Open science | 0.004 | 0.010 |
| Research integrity | 0.014 | 0.039 |
| Insufficient payload (model declined to judge) | 0.025 | 0.012 |
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".