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
【This research examined the design characteristics of Madeleine Vionnet, a female fashion designer who left an enormous legacy and made a great contribution to the high added-value fashion industry. Her techniques can be dividing in to three types: the bias cutting, the design by geometrical methods, and the classical style of ancient Greek clothing. This research also intended to study the design cases in which Vionnet's drapery images are applied to modern fashion, mainly the haute couture works that have appeared at Dior collections since 2000. In terms of the characteristics of Madeleine Vionnet's design, First, she produced the best achievement in dress and ornament history by developing a new technique called bias cutting. Second, her work was groundbreaking because it changed the previously planar approach to the female body into a solid conception by cutting and connecting geometrical pieces in the form of quadrangle, triangle, and a quarter-circle. As a result, her works depicted feminine beauty to the fullest extent through the combination of the human body, excellent materials, and the most sophisticated technology and personal skill. Third, her approach was a classical style tinged with the Greek costume image. With this style, which was born by reinterpreting the key tone of the Greek epoch in a modern way, and transcending and even changing tradition, she created a form of beauty that only she could.】
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.030 | 0.016 |
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