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Record W7100675700

Canadian Journal of Sociology Online September-October 2006

2014· article· en· W7100675700 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPsychology
TopicEmotion and Mood Recognition
Canadian institutionsnot available
Fundersnot available
KeywordsCeremonyLesbianHuman sexualityPoliticsChoseMeaning (existential)Field (mathematics)
DOInot available

Abstract

fetched live from OpenAlex

Kathleen Hull’s study of the commitment and spousal practices of same-sex couples in the United States is a welcome addition to the general field of socio-legal studies and, specifically, to the development of a comparative political sociology of lesbian and gay life. The book will attract attention in the current political climate because of the implications of Hull’s findings for the ongoing debate on the prioritization of same-sex marriage as a goal for the lesbian and gay movement in the U.S. In doing so, Hull indirectly contributes to the debate on same-sex marriage in Canada and beyond. Also, the book will be of interest to sociologists of culture, gender and sexuality as it offers pioneering analysis of emerging rituals and spousal practices among same-sex couples. The empirical core of Hull’s project is an exploration of the relationship between culture, politics and law through interviews with 71 individuals representing 38 same-sex couples on their attitudes towards public commitment ceremonies. She sought information on why couples chose to undertake such a ceremony (or not), how they carried out their ceremony and how they understood the meaning of their ceremony (or lack of one). From a methodological standpoint, there are limitations in Hull’s sample, as she fully explains, and it is to be hoped that this research could be replicated and extended, especially beyond its regional confines in the Chicago area. Nonetheless, Hull’s interviews

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: Empirical · Consensus signal: none
Teacher disagreement score0.480
Threshold uncertainty score1.000

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)0.0250.001

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 head0.028
GPT teacher head0.317
Teacher spread0.289 · 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
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
Published2014
Admission routes1
Has abstractyes

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