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Record W2621364219 · doi:10.31235/osf.io/e4yst

Do Same-Sex and Straight Weddings Aspire To the Fairytale? Women’s Conformity and Resistance to Traditional Weddings

2016· article· en· W2621364219 on OpenAlexaff
Tina Fetner, Melanie Heath

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicFamily Dynamics and Relationships
Canadian institutionsMcMaster University
Fundersnot available
KeywordsConformityResistance (ecology)SociologyGender studiesSex workersArtSocial psychologyPsychologyDemographyResearch methodology

Abstract

fetched live from OpenAlex

AbstractCritical heterosexuality studies demonstrates the role of the traditional, white wedding in the reproduction of heteronormativity and gender and contribute to a social order that privileges white, middle-class, heterosexual married couples over other relationships. On the other hand, social science research points to the ways that same-sex weddings offer a site of resistance to heteronormativity and traditional gender roles. We analyze in-depth interviews with women in straight and same-sex marriages. We find that women in straight marriages are more likely to embrace the traditional, white wedding than those in same-sex marriages. Women planning same-sex weddings think deeply about their wedding ceremonies as they relate to heteronormativity. Some participants reject traditional weddings as excessively costly and wasteful. We argue that, while weddings are often sites for the celebration of consumerism, traditional gender and heterosexuality, they can also be sites of resistance that challenge these same social norms.

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)0.004
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.004
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.027
GPT teacher head0.262
Teacher spread0.235 · 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 designQualitative
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

Citations6
Published2016
Admission routes1
Has abstractyes

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