CRITICALAPPRAISAL OF MODEL CURRICULUM OF PHYSIOTHERAPY INDIA AGAINST ENTRY TO PRACTICE PHYSIOTHERAPY CURRICULUM 2009 CANADA
Bibliographic record
Abstract
Physiotherapy profession is recognized Globally for its signicant role in improving health and wellbeing and is known for having lucrative careers abroad. Canada is one of the destinations preferred by Indian physiotherapy students. Indian students need to undergo credential evaluation as the education has to be substantially equivalent to Canadian educational level in order to register for masters. It is therefore imperative that analysis of the graduate curriculum of Canada and India needs to be undertaken to address whether the content meets the needs of the curriculum. So, the content inclusions of the two curricula were analysed and compared for their matchability and Nonmatchability. On comparison it is observed that the approach availed in the structuring of Canadian Curriculum is integrated teaching Learning approach as against segmented approach in the Indian curriculum. The competencies segregation in the Canadian Curriculum is therefore observed to be effectively linked with specic competencies as against the Indian Curriculum which falls short on the said count.
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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 | 0.003 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".