Bibliographic record
Abstract
This study explored the relationship that HIV-positive women have constructed with their bodies both pre-HIV and post-HIV diagnosis. The research was based on feminist and postmodernist theoretical perspectives and narrative based qualitative interviews with six HIV-positive women residing in Ontario. The women’s narratives formed the basis of the data analysis. The findings revealed stories of women’s complex relationships with their bodies that were influenced by cultural discourse of the female body, change to their bodies post-HIV, side effects of HIV medications, a yearning to change their bodies with cosmetic procedures, and HIV-related stigma. While women’s stories illustrated reflections from the past and present, their stories also moved non-linearly through time. These stories challenged the idea of a grand truth about how women experience their bodies and suggested women’s relationship with their bodies is an active and fluid process. The theoretical perspectives of this research and the stories of HIV-positive women provided implications for future social work practice and research. Feminist and postmodern approaches are encouraged in future research and practice to promote non-silencing and non-pathologizing experiences for HIV-positive women. The stories shared by women suggested that the dominant model of female beauty affects the relationship constructed with their bodies and shapes the lives of women both pre-HIV and post-HIV diagnosis. These stories validated that body image concerns are indeed present in women living with HIV, just as they are present for HIV-negative 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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.012 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| 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".