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.
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 | 0.030 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.005 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".