Supports for migrant farmworkers: tensions in (in)access and (in)action
Bibliographic record
Abstract
Purpose This study aims to examine the role of support actors in promoting or hindering access to public services/spaces for migrant agricultural workers (MAWs) and to determine the factors that influence adequate support for this population. Design/methodology/approach Using a situational analysis methodology, the authors carried out focus groups and interviews with 40 support actors complimented by a community scan (n = 28) with public-facing support persons and a community consultation with migrant farmworkers (MFWs) (n = 235). Findings Two major themes were revealed: (In)access and (In)action and Blurred Lines in Service Provision. The first illustrated how support actors could both reinforce or challenge barriers for this population through tensions of “Coping or Pushing Back on Constraints” and “Need to find them first!” Justification or Preparation? Blurred lines in Service Provision encompassed organizational/staff’s behaviors and contradictions that could hinder meaningful support for MFWs revealing two key tensions: “Protection or performance?” and “Contradicting or reconciling priorities? Our findings revealed a support system for MAWs still in its infancy, contending with difficult political and economic conditions. Social implications Service providers can use research findings to improve supports for MAWs. For example, addressing conflicts of interests in clinical encounters and identification of farms to inform adequate outreach strategies can contribute to more effective support for MAWs. Originality/value This research is novel in its examination of multiple sectors as well as its inclusion of both formal and informal actors involved in supporting MAWs. Our findings have the potential to inform more comprehensive readings of the health and social care resources available to MAWs.
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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".