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Record W1497304453

BODY IMAGE AND HIV: EXPLORING THE STORIES OF HIV-POSITIVE WOMEN

2011· dissertation· en· W1497304453 on OpenAlexaboutno aff
Michelle V. Gibson

Bibliographic record

VenueMacSphere (McMaster University) · 2011
Typedissertation
Languageen
FieldHealth Professions
TopicObesity and Health Practices
Canadian institutionsnot available
Fundersnot available
KeywordsHuman immunodeficiency virus (HIV)Gender studiesMedicinePsychologyVirologySociology
DOInot available

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.436
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0500.000

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.

Opus teacher head0.051
GPT teacher head0.321
Teacher spread0.270 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2011
Admission routes1
Has abstractyes

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