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Record W4293245350 · doi:10.36106/ijsr/2007939

CRITICALAPPRAISAL OF MODEL CURRICULUM OF PHYSIOTHERAPY INDIA AGAINST ENTRY TO PRACTICE PHYSIOTHERAPY CURRICULUM 2009 CANADA

2022· article· en· W4293245350 on OpenAlexaboutno aff
Umanjali’s Damke, Ved Prakash Mishra

Bibliographic record

VenueINTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Competency in Health Care
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumCredentialDestinationsMedical educationStructuringMedicinePedagogyPsychologyPolitical science

Abstract

fetched live from OpenAlex

Physiotherapy profession is recognized Globally for its signicant 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 specic competencies as against the Indian Curriculum which falls short on the said count.

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 imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.128
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.045
GPT teacher head0.480
Teacher spread0.435 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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