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Wedding dress across cultures

2003· other· en· W6889879587 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typeother
Languageen
FieldArts and Humanities
TopicFashion and Cultural Textiles
Canadian institutionsnot available
Fundersnot available
KeywordsClothingContext (archaeology)Ethnic groupIdentity (music)White (mutation)ColonialismAdornmentStylized fact

Abstract

fetched live from OpenAlex

Although the Victorian white wedding dominates western bridal dress and large portions of former colonial empires, marriage rituals vary significantly throughout the world. The Japanese, for instance, combine both traditional ceremonies with receptions utilizing western approaches to dress. In the Andes the bride will personally create a multi-layered dress to showcase her weaving skills. Berber brides in Morocco wear binding clothing that covers their faces, a notable contrast to Canadian prairie-province brides whose stylized gowns individualize and enhance body shape. This engaging book examines the evolution and ritual functions of wedding attire within the context of particular cultures. It raises questions as to the relationship between contemporary wedding attire and traditional values. It discusses the changes international migrations have had upon the wedding dress of several ethnic groups. It provides insights into numerous societal relationships to weddings, such as the ban on bridal-produced embroidery in dowries in India, the challenges individual values have to larger societal ones in themed weddings, and the relationship between the return to pre-western attire and identity politics. Exploring these issues, the authors provide unusual insights into the centrality of dress in shaping individual identity as well as its importance in reflecting cultural values and ideals

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.296
Threshold uncertainty score0.998

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)0.2980.003

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 head0.036
GPT teacher head0.288
Teacher spread0.252 · 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; both teacher heads agree on what is shown here.

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
Published2003
Admission routes1
Has abstractyes

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