Indirect Pathways Into Practice: A Comparative Examination of Indian and Philippine Internationally Educated Nurses and Their Entry Into Ontarioâs Nursing Profession
Bibliographic record
Abstract
In Canada half of all internationally educated nurses (IENs) are employed in Ontario, and in 2010 the top three countries where new IENs had received their training were the Philippines, India and China. This presentation reports on preliminary results from an ongoing research project examining the experiences of IENs from the Philippines and India who intend to enter Ontario’s nursing profession indirectly via temporary migration streams. The preliminary survey results will be presented, including differences in the characteristics and experiences of the two groups as they follow migration and occupational pathways to enter Canada and the nursing profession in Ontario. The preliminary findings will highlight some of the issues the data reveal in terms of specific settlement experiences, issues of effective conversion of pre-migration training into professional practice post-migration, and how policy shifts toward temporary and two-step migration may be shaping the nature of IENs’ indirect pathways into practice.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.011 | 0.007 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".