The Impact of Language and Skills Training on Immigrants's Lives
Bibliographic record
Abstract
This study is a qualitative exploration of the experiences of immigrants who completed a health care aide training program that combined occupational skills and ESL training. The focus was the employment barriers and personal benefits associated with program completion. Data were collected through structured interviews with nine participants, eight of whom were women, which were then transcribed and analyzed for central themes. The interview data were supplemented with document data consisting of information from application forms and intake assessment tests. The findings revealed that participation in the training program had a major impact on the employment, identities, and settlement of program participants. The skills and language training improved the employment prospects of the individuals, although many had to overcome such employment barriers as the need to work on call, conflicts between domestic responsibilities and work outside the home, and transportation limitations. Many participants also spoke of the importance of learning job-search skills and the personal significance of having an occupational identity. Finally, successful completion of the program increased the self-confidence and autonomy of the individuals, which in turn aided their settlement and integration into Canadian society. The article concludes with recommendations for future research in this area, as well as pedagogical interventions to assist participants with their ongoing language learning, job aspirations, and settlement.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.009 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| 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".