Career Transition of Immigrant Young People: Narratives of Success
Bibliographic record
Abstract
While a high unemployment rate is documented among immigrant young people, research also suggests that they experience success with career decision-making despite challenging circumstances (Hofferth & Moon, 2016). This study explored the career decision-making narratives of nine young people between the ages of 25 and 35 who had come to Canada when they were between the ages of 13 and 17 and who self-define as doing well in their career decision-making. Using a narrative research design, individual narrative accounts were constructed and analyzed using a thematic analysis (Braun & Clarke, 2006). The six themes that emerged from participant responses were (a) parental and family influences, (b) networking, making connections, and mentorship, (c) personal and workplace challenges, (d) peer influences, (e) the value of education, internships, and volunteering, and (f) the importance of rewarding, fulfilling work and pursuing one’s passion. Implications for career counselling practice, research, and career theory development are discussed.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".