Conference report of the annual meeting of the International Society for Sports Psychiatry (ISSP), online, June 8, 2024
Bibliographic record
Abstract
The International Society for Sports Psychiatry (ISSP) held its annual meeting online for the 5 th consecutive year.While the COVID-19 pandemic initially necessitated the online version of the ISSP annual meeting in May 2020, the transition created an opportunity for increased attendance by its international membership.Subsequent member surveys identified that a majority of responding members preferred that the annual meetings continue to be held online.The ISSP represents worldwide excellence in Sports Psychiatry.Founded in 1994, the ISSP has contributed to substantial advancements in the science and practice of sports psychiatry for athletes of every age, race, and ability.Leaders of the ISSP have developed and continue to refine world-class courses and curricula for mental health in sports, author seminal papers/books, provide mentorship for developing sports psychiatrists, lead global coalitions in sports psychiatry, and provide care for athletes at major games events.Following a welcome address by ISSP President Dr. Carla Edwards (Canada), meeting attendees were treated to a keynote address by internationally renowned Sports Medicine physician, researcher, and gold medal-winning Paralympian Dr. Cheri Blauwet.The keynote address was followed by key organizational updates (business review: including a description of progress in the field of sport psychiatry facilitated by ISSP in 2023-24, composition of the new board, committee information and a list of ISSP training certificate recipients), the scientific session and an international spotlight with regional updates from international ISSP members from Canada, Brazil, the United Kingdom, Switzerland and South Africa.Organizational priorities for the year 2024-25 were also identified.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.173 | 0.049 |
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".