What Empowers or Disempowers Sikh Women after Migrating to Ontario, Canada?
Bibliographic record
Abstract
Sikh women are known for their valour and bravery in India. But many negative stereotypes are attached to their identity in Canada. They are often labelled as submissive and docile. This research has focused on empowering and disempowering factors experienced by Sikh women in Ontario, Canada. There is a substantial amount of literature on South Asian women’s experiences but there is a lack of literature, particularly focusing on Sikh women’s empowerment. In this study in person interviews were conducted with three Sikh women who were between the ages of 30-40 years and have immigrated to Canada from Punjab, India and have lived in Ontario for five years or more. Qualitative research was conducted using a narrative methodology. Recruitment emails were used to select study participants. The goal of this research is to add to existing social work literature. Findings will aid settlement agencies in understanding the needs of Sikh women, after they migrate to Canada and what challenges are faced by them. This, in turn, will help settlement workers to provide culturally competent support to Sikh women. This study will also help challenge some of the negative myths about Sikh women.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.021 | 0.009 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| 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".