Women in Indian Immigrant Communities in Canada: A Case Study Among Families of Karnataka Origin
Bibliographic record
Abstract
There has been an unprecedented increase in opportunities for migration form India to other parts of the world, especially after the economic liberalization regime set in. Canada is among the countries that are seeing a growing number of Indian immigrants. Even by 2004, Indo-Canadians were the most rapidly growing ethno-cultural population. Though there have been a number of studies on Indian diaspora in Canada, they have concentrated on themes such as issues of culture conflict, adjustment dilemmas and institutional networks. The gendered impact of migration has not formed the main subject of most studies. However, it is important to take up studies on questions of changing gender relations within the family and community, participation of women in public sphere, creation of women’s support networks to address issues of gender based violence.The paper focuses attention on the shifts that have taken place in the lives of women in families of Karnataka origin in Canada. Such issues as changing nature of role allocation and power sharing in families, inter-generational changes as measured by women’s performance in such areas as education, employment and freedom from violence (physical, cultural and mental) and control over familial resources in Canada and India also need to be addressed. This study is primarily based in Edmonton city in the Alberta Province. Both primary and secondary sources of information would be used in generating the study data.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.037 | 0.006 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| 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".