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Record W2621902506 · doi:10.3968/9193

A Comparison Study of Wedding Between China and Western Countries

2017· article· en· W2621902506 on OpenAlexvenueno aff
Bingyao Hu

Bibliographic record

VenueCross-cultural communication · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicChinese history and philosophy
Canadian institutionsnot available
Fundersnot available
KeywordsChinaSymbol (formal)Ethnic groupStyle (visual arts)Chinese cultureHistorySociologyPolitical scienceLawAnthropology

Abstract

fetched live from OpenAlex

Since ancient times, wedding custom, as a national symbol and cultural development, plays a very important role in the ethnic studies. More importantly, it is that people can understand the history of human society better through numerous and brilliant wedding customs and explore the basic law of development of human society. During the development of human history, many wedding customs have experienced various changes, as the basic pattern, “six etiquettes” in China has not changed much and is still essential and core in wedding custom. In western countries, a valid marriage should experience proposal, surnames, choosing the day and holding the wedding. This paper will explore some different aspects of two wedding customs. Because of their different cultural origin, religion, concept and geography, there are many differences existing between China and Western countries: different procedures, different dresses, different activities, different colors and different wedding day ceremonies. Because of the cultural exchange, China and Western countries become more frequent. This paper will also discuss some similarities and absorption of wedding culture between China and Western countries. Through the comparison of these processes and some related stories, we can easily find the distinctions. Generally speaking, western weddings are more flexible. The processes of a wedding are not so complicated as a Chinese wedding. They give us the impression of romanticism, freedom and equity. According to the traditional Chinese style, it seems to be more cockamamie and striped-pants but own deeper cultural connotations.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.087
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.001
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.095
GPT teacher head0.448
Teacher spread0.353 · 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.

Study designObservational
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

Citations2
Published2017
Admission routes1
Has abstractyes

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