The Adaptation Experiences of Transnational Physiotherapists in Ontario, Canada: A Grounded Theory Approach
Bibliographic record
Abstract
In both research and policy, much attention has been given to further understand how inter-nationally educated professionals integrate in Canada. However, little attention has been given to the reintegration experiences of physiotherapists who were educated and trained internationally. Using the constructivist grounded theory (CrGT) method, the main study objective was to generate a theory to further explore these issues. \n Following the CrGT approach, transnational physiotherapists were invited to share their Canadian integration experiences. The participants reflections about their lived experiences, feelings, and thoughts led to the identification of the contextual elements (micro, meso, and macro) as the dominant themes of Facilitators and Barriers. Further analysis revealed that a specific set of structural barriers and facilitators point to the five integration stages and six adaptation identities. In this study, identity adaptation (IA) emerged as the core theory that explained the participants successes and challenges. \n The contributions of this study are the first to be reported in the physiotherapy-immigration discourse. These include identifying the various social structures and processes that impact the integration of the transnational physiotherapists. Some of these examples include the positive effect of social networks and the negative implications of the Canadian experience (CE) requirement. The results have implications for more successful professional integration at the education, policy, and practice levels.
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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 | 0.008 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.028 | 0.014 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".