Discourse on culture in research on immigrant and migrant workers’ health
Bibliographic record
Abstract
BACKGROUND: Health and safety researchers and practitioners have proposed that cultural differences help explain inequalities between foreign and native-born workers. While cultural explanations for inequalities have long been debated in other fields, there exists little critique of cultural discourses in occupational health. METHODS: This article examines and discusses the discourse on culture in 107 articles on immigrant or migrant workers' health published between 2011 and 2015. For each article, passages on culture were identified and analysed for both the context and the manner in which culture was discussed. RESULTS: The discourse on culture was found to be generally simplistic, individualistic, and uncritical, intentionally or unintentionally supporting the worldview that workers' "otherness" is both cause of inequalities and target for interventions. CONCLUSION: The article argues that empirical, theoretical and interdisciplinary work is needed to document the mechanisms and pathways that underlie health and safety inequalities by foreign-born status.
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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 | 0.010 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| 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".