An Exploration of Immigrant Womenâs Experiences with Social Service Agencies in the Region of Waterloo
Bibliographic record
Abstract
The pupose of this qualitative research project is to explore the experiences of immigrant women as they relate to their interactions with social service agencies, in an effort to understand how these women give meaning to their experiences and how those experiences impact their future behaviour. It is hoped that this study will provide an increased understanding of immigrant women’s interactions with service agencies for the benefit of social service providers aiming to apply a best practice approach in their service to newcomers.\nThis qualitative study consists of semi-structure interviews with 25 women representing 21 different countries. This research was carried out using a feminist lens and the data was analyzed using a thematic analysis. The findings of this study revealed that the knowledge of immigrant women’s journeys to Canada is significant as it is part of their reality and may contribute to feelings of vulnerability. In addition, it did not appear that ethno-specific agencies delivered more favorable services that ‘mainstream’ agencies. The participant’s perception of the quality of the service they received appeared to be based on the information conveyed through nonverbal behaviour, mode of communication and conduct. Feelings of hope, confidence and happiness emerged from the positive experiences while anger, shame and humiliation were reported as resulting from the negative experiences. The impact of these experiences had on immigrant women is noteworthy for social service practitioners. Suggestions for the improvement in the delivery of service are outlined since educating and training for service providers are recommended as part of a continual commitment to make social services a resource that immigrant women are willing to use and refer others to use.
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.020 | 0.009 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".