Voices From Women's Wardrobes: Mid-Life and Self-Image
Bibliographic record
Abstract
Current fashion research has not explored adult women's perceptions of available clothing choices in relation to changes they experience during midlife. Physical and cultural shifts such as menopause, divorce, or the premature death of a partner may significantly disrupt a woman's disposition. In response, clothing may become a vital expression of their personal and public personas. To better understand embodied dress practice, the ways that women in mid-life negotiate the fashion system to develop their self-image were investigated using Photovoice. Women (n=11) between the ages of 45-55, took full-body selfies dressed in their favourite daywear outfits and discussed the photographs in a semi structured interview. Results were categorized according to common themes: past and present fashion influences, shopping behaviours, wardrobe building strategies, as well as common strategies used to navigate the fashion system in order to establish a wardrobe that reflected their self-image. Findings are important to fashion designers, retailers and marketers.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".