Finding a place to call home: the experience of frontline workers searching for housing for refugee claimants in Toronto
Bibliographic record
Abstract
This qualitative research paper examines the roles of frontline workers who work in refugee-specific shelters in Toronto, and whose tasks involve finding housing for refugee claimants. Four participants from different shelters were interviewed and were asked about the barriers that they face when fulfilling this role. These types of barriers are those that FLWs experience on behalf of their clients, in addition to barriers that FLWs experience in their workplace which can impact the success of their work. This paper reflects on these findings using an Anti-Oppressive Practice framework. Findings reveal that the participants experience a range of discrimination against their clients by landlords, in addition to stigma surrounding unemployment, welfare recipients, and newcomers. Participants also face difficulties fulfilling their client’s expectations of housing that is available in Toronto. Furthermore, participants face barriers at their workplace such as working over time and being understaffed. Keywords: Refugee claimants, frontline workers, housing, Toronto
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.010 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".