Bibliographic record
Abstract
Chinese independent immigrants are entering Canada in increasing numbers. Immigration policy indicates that these individuals have skills that will enable them to quickly integrate into Canadian society. However, more than half of the Chinese independent immigrants live below the poverty line in Canada. In order to gain insight into the integration process, eight independent immigrants living in Victoria, B.C. were invited to participate in a qualitative exploration. Through in-depth interviews, the participants shared their experiences and perceptions of adaptation. The participants revealed that their views were very different from the findings of previous researchers and government policies. For these participants, contribution to society was viewed as a priority. They saw the integration process as a hierarchy, with level of motivation as the main determinant that allowed them to move through various stages. Other factors identified by the participants that aided their immigrant adaptation were favorable government policies, supportive host society members, and adaptation competence. Those factors that hindered adaptation included high-level language requirements, a sluggish Canadian economy, racial discrimination, ineffective integration services and their Chineseness. The participants made several suggestions to improve the integration process: transitional services, better information dissemination, and an immigrant education program with co-op and volunteer opportunities.
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.016 | 0.007 |
| Scholarly communication | 0.004 | 0.001 |
| 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".