‘Unkind Cuts’: Health Policy and Practice versus the Health and Emotional Well-Being of Asylum-Seekers and Refugees in Ireland
Bibliographic record
Abstract
Healthcare is the keystone of a number of complex progressive social justice issues that evoke complex emotions. As the demography of Ireland rapidly changes, the practices and expectations of some asylum-seekers and others seeking refugee status present new opportunities and challenges for health-service providers. This paper looks at some of the emotions evoked in healthcare issues. It draws on observations and interviews from empirical fieldwork carried out for the Health Research Board. The research was conducted both in the Adelaide and Meath Hospital, incorporating the National Children's Hospital, Tallaght and in a number of refugee reception centres in Ireland. At one level, honouring faith choices within a healthcare setting is a societal acknowledgement—often made to people at their most vulnerable—that the potent and cathartic transformative rituals they value are significant in mediating and managing their emotions. This paper argues that, at another level, it is a practical and symbolic communication of a statutory commitment to interculturalism and community cohesion.
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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 | 0.015 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.046 |
| Scholarly communication | 0.014 | 0.006 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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".