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Record W4288423005 · doi:10.5539/ass.v18n8p20

Assumptions on the Re-study of Textiles and Clothing in the Newspapers and Periodicals of the Republic of China

2022· article· en· W4288423005 on OpenAlexvenueno aff
Wenqian Liang, Yan Wang, Xiaoming Yang

Bibliographic record

VenueAsian Social Science · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicFashion and Cultural Textiles
Canadian institutionsnot available
Fundersnot available
KeywordsClothingNewspaperChinaThe RepublicTextileConsumption (sociology)Intersection (aeronautics)Point (geometry)AdvertisingBusinessPolitical scienceSociologyHistorySocial scienceGeographyLawCartographyMathematics

Abstract

fetched live from OpenAlex

The development of textile and clothing in the Republic of China plays an important role in history, which is the demarcation point between ancient and modern, and also the intersection point between the East and the West. Based on the research on the textile and clothing during this period in the newspapers and periodicals of the Republic of China, and it has many advantages such as time certainty, material diversity, and content authenticity, etc. Therefore, the textile and clothing information in the newspapers and periodicals of the Republic of China plays an important role in understanding the development of the textile and clothing in the Republic of China. Through the analysis of the research value and research status, we can further refine the research content, optimize the research method, clarify the research goal and provide a feasible research path. And then which will provide a useful reference for follow-up studies, film and television production, and the development of local intangible cultural heritage.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0030.005
Scholarly communication0.0040.004
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.041
GPT teacher head0.265
Teacher spread0.224 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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
Published2022
Admission routes1
Has abstractyes

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