Green Landscapes of Care: The Potential of Gardens to Support the Well-Being of Asylum Seekers in Ireland
Bibliographic record
Abstract
Engaging vulnerable migrants in nature-based activities demonstrates that access to green space can provide a safe place to process trauma, allowing vulnerable forced migrants to enhance their sense of subjective well-being, to breathe and to be. Framed by the feminist ethics of care concept of 'universal care', this qualitative study utilised semi-structured interviews, focus group discussion and participant observation to explore asylum seekers' opportunities for giving and receiving care for people and planet in green spaces outside of institutional international protection accommodation, particularly among those who have access to community gardens. This research contributes to understanding the multigenerational benefits of green space and the potential of forms of horticultural therapy to support the health and well-being of vulnerable forced migrants of all ages. This research has implications for how care for international protection applicants could be enhanced in Ireland and elsewhere through expanding access to safe and inclusive green spaces. It provides a model of a landscape of care support mitigation of pre- and post-migration trauma and mental stress.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.008 |
| 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".