Study on the Factors Affecting the Embroidery Pattern Style of Miao in Leishan
Bibliographic record
Abstract
In response to the factor that affects the evolution of Leishan Miao embroidery style, this paper, based on field inspections and consulting related county chronicles, characterizes its style from two aspects: pattern composition and content, and tries to characterize its style from the perspectives of craftsmanship and the social role of embroidery women. By reviewing the angles of change, and analyzing the reasons for the evolution of embroidery styles, this research has found that the style of Miao embroidery can be summarized as the proper use of continuous and separate patterns, as well as the fusion of reality and illusion in the subject matter. The study holds that the comprehensive application of stitching is the technical guarantee for the evolution of styles. At the same time, the transformation of embroidery women's social roles from “women weavers” to “women farmers” and then to “businesswomen” is the potential motivation for the evolution of embroidery styles.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".