Female Brazillian students' experiences at Canadian post-secondary institutions
Bibliographic record
Abstract
This qualitative study investigated the experiences of Female Brazilian international \nstudents studying in Canadian post-secondary institutions. While funds and research have been \ninvested in the promotion and marketing of post-secondary institutions to Brazilian international \nstudents, little or no research has been conducted regarding the cultural accommodations and \nneeds once they attend these institutions. This phenomenological study examines the experiences \nof eleven female Brazilian international students between the ages of 26 and 43 who had \npreviously completed post-secondary education in their own country. Eleven unstructured \ninterviews, yielded six themes from a grounded theory analysis process: (a) the Competitiveness \nof the Immigration Process; (b) the Adjustment to Living in Canada; (c) the Challenges of \nStudying in Canada; (d) Financial Issues; (e) Employment in Canada; and (f) Personal \nWellbeing. The overall benefits and challenges of studying in Canadian post-secondary \ninstitutions are presented and recommendations are made describing specific ways in which \ninstitutions can adapt policies and programs in order to enhance international students? transition \nto Canada.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.018 | 0.007 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".