The Migratory Experiences, Access to Health Care and Employment of Immigrant and Refugee Latinos and Latinas Living with HIV in Toronto
Bibliographic record
Abstract
The present study documents and analyzes the everyday experiences of immigrant and refugee Latinos and Latinas living with HIV in Canada, particularly in Toronto. The main objective is to understand the issues that the Latino HIV positive community encounters during the migration process, the barriers accessing health care and employment in Canada, and strategies to counterbalance the negative effects of such barriers. Participants' relationships with relatives, friends and partners are also analyzed as a means to understand better processes of discrimination and marginalization in the context of living with HIV. The study is carried out using a qualitative methodology, which allows deeper comprehension of social contexts and individuals' perceptions and meanings. Thirty face to face interviews were conducted with HIV positive men and women originally from Latin America, representing a wide range of diversity in national origin, age, gender, and sexual orientation. The study contributes to the research done on the areas of migration, the experience of living with HIV/AIDS and links of migration and sexuality. It also attempts to be useful in the construction of a culture of coping strategies, and practical knowledge for managing the disease, which can be of direct interest for seropositive people themselves. Studies that explore the experiences of Latinos and Latinas living with HIV are particularly relevant at a time when in Canada the HIV/AIDS epidemic is growing fast in this community.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.016 | 0.005 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| 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".