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Record W4320512826 · doi:10.2991/978-2-494069-31-2_436

The Possibility of Transgression and Fluidity

2022· book-chapter· en· W4320512826 on OpenAlexaff
Youyou Dai, Yimeng Liu, Xin Tong

Bibliographic record

VenueAdvances in Social Science, Education and Humanities Research/Advances in social science, education and humanities research · 2022
Typebook-chapter
Languageen
FieldSocial Sciences
TopicGender Roles and Identity Studies
Canadian institutionsEarl Haig Secondary School
Fundersnot available
KeywordsOpposition (politics)Binary oppositionQueerMarine transgressionIdentity (music)AestheticsSociologyConnotationGender studiesPoliticsEpistemologyArtPolitical sciencePhilosophyLaw

Abstract

fetched live from OpenAlex

Identity problem is a hot topic in today's society and academia.In the cultural, political, gender, regional, and other different systems, people's identity is stuck with different labels, and various stereotypes attached to people are constantly being reinforced.Logocentrism and binary opposition are the conceptual basis of this thinking mode.The queer theory provides people with another way of thinking and behavior.Its emphasis on the fluidity and transgression of identity strongly opposes and attacks the inherent and pre-existing identity construction.La Mucada is a festival established on the basis of queer theory.This paper tries to use queer theory to understand the connotation and influence of this festival and the possibility that logocentrism and binary opposition can be broken through this festival.It demonstrates that this festival challenges people's previous gender, cultural, and social identity through irrational carnival and dramatic resistance to tradition and participants achieve the transgression and flow of identity.

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)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.036
Scholarly communication0.0100.011
Open science0.0010.008
Research integrity0.0010.006
Insufficient payload (model declined to judge)0.0050.001

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 head0.147
GPT teacher head0.490
Teacher spread0.343 · 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 designTheoretical or conceptual
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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Same venueAdvances in Social Science, Education and Humanities Research/Advances in social science, education and humanities researchSame topicGender Roles and Identity StudiesFrench-language works237,207