Abstracts of scientific papers and sessions, CPA Congress 2010
Bibliographic record
Abstract
Key words: Physio10, Canadian Physiotherapy Association Congress 2010, St. John's, Newfoundland, Canada, Abstracts, Scientific sessions, Health Promotion, public and patient education, injury prevention, determinants of health, role of physiotherapists in primary health care, mobility, population health services, exercise prescription, , chronic disease prevention, cardio-respiratory, neurological, musculoskeletal, Leadership in Action, physiotherapy leadership development, innovative models of practice, public, private and independent practice management of physiotherapy services, evolving physiotherapist roles, health human resources management strategies, inter-professional collaboration and education strategies, innovative service delivery models, health system reform, Neuromusculoskeletal Practice, promotion of research, practice and patient/client care in the neuromusculoskeletal area, evidence based practice model, clinical experience, patient and client preference, clinical decision making, assessment and treatment of disability that arises from both spinal and peripheral pathologies, clinical skills and clinical reasoning modules in orthopaedic practice, advances in research related to neuromusculoskeletal practice, Merging Research and Practice, fundamental scientific research, clinical research and the reciprocal transfer of knowledge between clinical practice and research, active transfer strategies for informing clinical practice through information technologies, informing the development of clinical research questions, basic science or clinically focused research on targeted physiotherapy interventions, implementation and management strategies, benchmarking areas of practice, post-operative management of acute care patients
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 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.009 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.288 | 0.128 |
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".