Seeking refuge: reconceptualizing therapeutic space at a day center for asylum seekers in Montréal
Bibliographic record
Abstract
Recent years have seen increased recognition of both the vulnerabilities of asylum seekers and the limitations of conventional mental health services in assisting them. A new wave of research and intervention emphasizes the strengths and resilience of marginalized communities, aspiring to respond to the priorities of forced migrants through the provision of community-based, integrated pragmatic and psychosocial support. This thesis represents an ethnography of one such intervention: a Day Center for asylum seekers in Montréal. Over a six-month period of fieldwork, qualitative data were gathered in order to document users’ experiences and perceptions. Results suggest that the Day Center contributed to feelings of agency and wellbeing among participating asylum seekers. In the immediate post-flight context, this model of intervention may provide a safe space that supports the reestablishment of social networks.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.048 | 0.014 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.006 | 0.014 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.022 | 0.001 |
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".