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Record W4392243819 · doi:10.6914/ccs.020101

Summary of the First Thailand-China Youth Scholars Forum on Art and Culture Research

2024· article· en· W4392243819 on OpenAlexaboutno aff
A Zhou

Bibliographic record

VenueCostume and Culture Studies · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicSoutheast Asian Sociopolitical Studies
Canadian institutionsnot available
FundersSichuan Normal University
KeywordsChinaThe artsPolitical scienceField researchCultural exchangeMedia studiesSociologyLibrary scienceSocial scienceAnthropologyLaw

Abstract

fetched live from OpenAlex

On the eve of the implementation of the permanent visa-free policy between China and Thailand, young scholars in the field of arts and culture research from Thailand and China gathered in Bangkok and actively participated in the first Thailand-China Arts and Culture Research Forum held at Guelph University in Thailand in order to strengthen the research and exchange of arts and culture between China and Thailand and achieve the goal of building a community with a shared future for mankind. The relevant scholars conducted in-depth research in their respective fields and had extensive exchanges at the conference, which played an important role in enhancing the cultural confidence, institutional confidence, and academic confidence of scholars from both countries.

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)0.011
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.052
Threshold uncertainty score0.173

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.008
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.006
Science and technology studies0.0080.002
Scholarly communication0.0110.004
Open science0.0020.009
Research integrity0.0070.007
Insufficient payload (model declined to judge)0.0520.010

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 head0.062
GPT teacher head0.378
Teacher spread0.316 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2024
Admission routes1
Has abstractyes

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