IFOMPT 2012: A Rendez-Vous of Hands and Minds, September 30–October 5, 2012, Québec City, Canada
Bibliographic record
Abstract
Since its founding in Montreal, Canada in 1974, the International Federation of Orthopaedic Manipulative Physical Therapists (IFOMPT) has been providing orthopaedic and manual therapists from around the world with the highest-quality learning opportunities through a conference held every 4 years. In 2012, IFOMPT is partnering with The International Private Practitioners Association (IPPA) to host this prestigious event in Quebec City, Canada. As more than 51% of the Canadian Physiotherapy Association membership is working in private practice, this adds even greater value to this quadrennial event. This conference emulates best-evidence practice in the marriage of research and clinical excellence by pulling together some of the best and brightest hands and minds in orthopaedic physiotherapy. Through a call for proposals that equally emphasized research, clinical excellence, and the knowledge translation link between the two, the IFOMPT mandate of clinical and academic excellence has been kept at the forefront of this year's conference. Included in this supplement are the IFOMPT 2012 keynote addresses, schedule, and abstracts.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.251 | 0.059 |
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".