Cultural Considerations for Social Service Agencies Working with Muslim Clients
Bibliographic record
Abstract
Social service agencies and practitioners are continually challenged to provide services that are effective for, and reflective of, cultural and religious diversity. Qualitative interviews were conducted with 50 social work practitioners in four Canadian cities to gain insight into methods of practice that are culturally sensitive for work with Muslim clients. No hard-and-fast rules are identified, but the findings point to some cultural values and issues to consider (in particular the roles of faith and spirituality, community, family, gender, and perceptions of service seeking) and ways that agencies can be responsive to the cultural needs of Muslim clients (in particular by understanding pathways to care, explaining cultural difference, and providing culturally sensitive services). Implications for agencies providing services and future research directions are discussed.
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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 | 0.020 | 0.031 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.031 | 0.016 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 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".