Navigating Intersecting Forms of Oppression in the Search for Employment
Bibliographic record
Abstract
Opportunities for refugees to engage in occupations within host countries can be constrained by factors such as governmental policies or language barriers (Smith). Female refugees with physical disabilities may experience compounding barriers to participation related to their identity markers. The main aim of this study is to understand the experiences of female refugees with physical disabilities in seeking, preparing for, and obtaining employment. This study used an instrumental case study using semistructured interviews with five primary participants and four caregivers. Thematic analysis (Clarke & Braun) identified five key barriers to securing employment: (a) stigma and discrimination, (b) restrictive traditional labor market, (c) inaccessible and inadequate housing, (d) lack of cohesion and information across services, and (e) English language predominance. Findings highlight complex challenges experienced by the women who faced intersecting systems of oppression and can enable occupational therapists to address barriers associated with occupational injustice by improving services to better meet their needs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.015 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.015 |
| Research integrity | 0.001 | 0.002 |
| 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".