Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Scholars and practitioners assume that women aspire to fashion photographs of idealized models. It is unknown, however, what makes a fashion image aspirational because previous researchers have not explored the various dimensions that evoke this concept. In this article, I share the development of a taxonomy that explains the evaluative criteria and image elements that elicit aspiration in fashion photographs based on data gathered in focus groups with 100 women. Findings reveal that women aspire to a fashion image according to their evaluations that it is honest, empowering and socially responsible. The models, creative direction and visual cues in the image trigger these three aspirational criteria. My research contributes the first taxonomy of aspiration in fashion photographs and to the enhancement of knowledge about consumer engagement with images. Industry professionals are encouraged to incorporate promotional photographs into their corporate social responsibility agenda and produce imagery that represents women’s diverse beauty and character alongside glamour and artistry.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it