Dialogue with Immigrant Mothers from Chinese and Tamil Communities to Explore Homogenization, Normalization, and Objectification of their Body
Bibliographic record
Abstract
The influence of urbanization, modernization and acculturation processes as causes for the development of body image concerns and eating disorders are documented in the literature. Women exposed to a Western idea of "beauty" as skinny and thin may be more vulnerable to body dissatisfaction. The elements of Western society that contribute to women's body dissatisfaction are captured and described in BORDO's empire of images (2003) and FREDRICKSON and ROBERTS' objectification theories (1997). Both theories rest on the assumptions that women's bodies are seen as passive elements in Western society, and that as a result women often engage in activities that measure, modify, and control their bodies to meet Western standards of beauty and attractiveness. Homogenization, normalization, and objectification have not been studied among immigrant women, nor have similarities and differences been explored across ethno-cultural communities. Participatory methodology informed the data collection process and analysis. A series of three separate parent focus groups were held with each of the Tamil and Mainland Chinese mothers of elementary school children respectively, for a total of six focus groups and 13 participants. Through dialogue, newcomer immigrant mothers were invited to define their cultural idea of beauty and to confront it with the Canadian one. For both Chinese and Tamil mothers, the homogenization, normalization, and objectification of their bodies appeared to occur in similar ways. Immigrant women and their daughters tend to internalize the Western ideals of women's thinness; this makes them self-conscious about their own bodies. URN: http://nbn-resolving.de/urn:nbn:de:0114-fqs130126
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 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".