Chinese immigrants' dental care pathways in Montreal, Canada.
Bibliographic record
Abstract
OBJECTIVE: To better understand the dental health care pathways of Montreal-based Chinese immigrants. METHODS: An ethnographic study based on 12 in-depth semi-structured qualitative interviews was conducted among low-income Chinese immigrants in Montreal, Canada, from January to June 2005. Data about their dental health care-seeking pathways, barriers to the use of professional dental health care services and attitudes to dental health care were collected and coded, and resulting themes analyzed. RESULTS: Dental health care pathways include self-treatment and consulting a dentist in Canada or during a return visit to China. The pathways vary, depending on the circumstances. For dental caries and other acute dental diseases such as toothache, Chinese immigrants preferred to consult a dentist. For chronic diseases, some of them relied on self-treatment. Financial problems, and language and cultural barriers were the main factors that affected Chinese immigrants' access to dental care services in Canada. CONCLUSION: Understanding immigrants' dental health care pathways can help dental health care providers supply culturally competent services and help policy makers devise preventive dental health care programs to suit community needs and cultural contexts.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| 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".