Feminist understandings of newcomer women's embodiment
Bibliographic record
Abstract
In recent years, numerous scholars have advocated for the concept of embodiment—defined as the experience of engaging one's body with the world ( Allan, 2005 ; Piran & Teall, 2012 )—as a valuable framework for understanding women's experiences of their bodies. However, there is a paucity of research on embodiment specifically among newcomer women (including immigrants, refugees, and non-permanent residents) who belong to racialized groups in Canada. This article presents findings from a feminist research study employing an Arts-Based Engagement Ethnography (ABEE) methodology to investigate the embodiment experiences of six racialized newcomer women in Canada. The study reveals several unique factors influencing embodiment in this demographic, suggesting that future research, clinical practice, and social justice efforts should consider these factors both conceptually and methodologically. • Newcomer women view their bodies as multifaceted, integrating physical, mental, emotional, and spiritual dimensions. • They see their bodies relationally, with embodied experiences shaping and being shaped by their connections to others. • Spirituality nurtures a sense of wholenesss, connecting women to larger entities through art, music, and dance. • Sociocultural expectations affect how women percieve their bodies, shaped by societal and interpersonal influences. • Embodiment deepy impacts newcomer women's wellbeing influencing their integration into Canadian society across life areas.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.010 | 0.039 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".