Bibliographic record
Abstract
I confess. I registered for the 15th International Congress of the World Confederation for Physical Therapy (WCPT) meeting in Vancouver, BC, to participate in a session for more than 40 editors of physical therapy journals and newsletters from around the world. And the session was wonderful! We adopted a constitution and became the International Society of Physiotherapy Journal Editors. It was remarkable to see a diverse international group come to agreement in less than 2 hours about the need to enhance collaboration among our journals and to improve standards of publication within the field of physical therapy. When I removed my “editor in chief” blinders, however, I realized that attending WCPT was important for a larger reason. More than 3,500 physical therapists from about 80 countries participated in programs that offered excellent science as well as relevant discussion on professional and practice issues. It was a privilege to be in the audience when Marilyn and Jessica Rothstein accepted the WCPT's Mildred Elson Award on behalf of Dr Jules Rothstein, Editor in Chief Emeritus of PTJ. The Secretary General of WCPT, Brenda Myers, described Jules so well that I was sure he was in the auditorium with us; it was clear that she had spent time with him and valued him as a friend and colleague. I learned that Mildred Elson, an American, was the first WCPT president and that the Elson Award is the organization's highest award recognizing outstanding and sustained leadership. Marilyn Moffat, PT, PhD, FAPTA, received the Elson award in 2003 and this year was named the 12th president of WCPT. I was so proud; Americans were viewed as good guys again!
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 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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.008 | 0.015 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.005 | 0.010 |
| Insufficient payload (model declined to judge) | 0.024 | 0.003 |
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".