What are the personal and cultural criteria of Indo-Canadian women in deciding to seek counselling help?
Bibliographic record
Abstract
The purpose of this study was to explore the decision-making process of Indo-Canadian women in seeking counselling help. Little research regarding help-seeking behaviours and attitudes of minority groups has been done in the area of counselling psychology. Even less attention has been given to the Indo-Canadian community. The aim of this study was to contribute to existing research through a contextual understanding of the influences on an Indo-Canadian woman whe/n faced with the decision to pursue counselling help. It was further intended to provide mental health services with information on ways of encouraging this cultural group to utilize the available help resources. This study used narrative and multiple case study methodology. Seven Indo-Canadian women, all having previously used mental health services, were interviewed. Interviews were then transcribed, and 'straightened' into individual narratives based on the unique story of each participant. Factors of hindrance and facilitation with regard to help-seeking were extracted from the narratives and then analyzed for commonalities. The transcripts and narratives were validated by an external examiner to ensure freedom from distortion and bias. Five of the seven stories along with the factors of hindrance and facilitation were further validated by the respective participants. In addition, an abstract story was constructed from the individual accounts. Findings extended the research through the identification of facilitating factors in the decision-making process of Indo-Canadian women in seeking counselling.
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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 | 0.005 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.015 | 0.010 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".