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Record W2018048596 · doi:10.5539/ach.v6n2p56

Analysis on Modern Anomie Situation of Chinese Traditional Festivals

2014· article· en· W2018048596 on OpenAlexvenueno aff
Jinxia Wang, Xiaoqing Tang, Yali Pang, Wenjie Duan

Bibliographic record

VenueAsian Culture and History · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsAnomiePopularitySociologyIndustrialisationGlobalizationGovernment (linguistics)UrbanizationChinaAestheticsSocial sciencePolitical economyEconomic growthPolitical scienceLawEconomics

Abstract

fetched live from OpenAlex

Facing tremendous social changes in modern times, Chinese traditional festival as an important carrier of Chinese traditional culture, is encountering unprecedented development plights and survival crisis. In recent years, with the general concerns and widespread attention from the Chinese government and all sectors of the society, the traditional festivals have shown gradual revival from the declining trend. However, it should be noted that lack of core modern values, loss of emotional experience identity, missing of traditional folk arts, mess of the application of festival symbols, and popularity of western festivals culture are important representations of the anomie situation of Chinese traditional festivals in modern society, and also the crucial reason for it failed to overcome the difficulties. Globalization and the rapid development of information technology, the advancement of industrialization and urbanization have changed the social structure and people's lifestyles, rhythm, and also interpersonal relationships to a considerable extent, thus social environment for the survival of the traditional festivals related to agricultural society increasingly becomes narrow, and its impact and charm naturally bleak. Therefore, it is imperative to re-understanding and reconstructing traditional festivals, with new representations to restore the cultural connotations of traditional festivals, making it back into ordinary people's lives.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.694
Threshold uncertainty score0.199

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.028
GPT teacher head0.267
Teacher spread0.239 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations4
Published2014
Admission routes1
Has abstractyes

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