Barriers to and facilitators of community participation among Latinx migrants with disabilities in the United States and Latinx migrant workers in Canada: An ecological analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Individuals migrate to improve their wellbeing and quality of life, and often experience adverse situations, both during the process of migration and once within the host country. The purpose of this paper is to unpack the barriers to and facilitators of community participation, among Latinx immigrants with disabilities in the United States and Latinx migrant workers in Canada, following the Social Ecological Model. The authors draw from an appraisal of existing literature and their own participatory research with Latinx immigrants. Based on this integrative literature review, Latinx experience individual issues such as language barriers and lack of knowledge of the services available to them. At the community level they experience discrimination, limited opportunities for community participation, and lack of opportunities for meaningful employment. At the systemic and policy level in the United States, the antimigrant political environment keeps Latinx immigrants with disabilities from participating in their communities due to fear of deportation. In Canada, Latinx workers experience the paradox of migration and discrimination. The discussion of barriers and facilitators is followed by recommendations for community research and action.
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.
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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 it