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Record W7098846758

AFFECT CHANGE: THE INCREASED INFLUENCE OF ATTITUDINAL FACTORS ON CANADIANS ’ SUPPORT FOR LEGAL SAME-SEX MARRIAGE

2006· article· en· W7098846758 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Diversity and Evolution
Canadian institutionsnot available
Fundersnot available
KeywordsPublic opinionAffect (linguistics)FeelingOpinion pollSociological researchPeriod (music)
DOInot available

Abstract

fetched live from OpenAlex

Using data from the Canadian Election Surveys, this study considers Canadian public opinion on legalizing same-sex marriage with the aim of trying to account for the dramatic shift from minority-support to majority-support for such marriages that occurred between 1997 and 2004. Specifically, the study examines the statistical associations of those sociological factors identified in Canadian research and public opinion polls as influencing Canadians ’ opinions on legal same-sex marriage. Evidence is presented that, contrary to what public opinion polls suggest, opinions on same-sex marriage can no longer be justifiably ascribed to demographic origins. In large part, the majority-support that Canadian citizens held by 2004 for legal samesex marriage came about as the result of shifts in attitudes, values, and beliefs, rather than because of demographic factors. Data also suggest that over the study period there was a decrease in the influence that traditional moral values played in forming opinions toward same-sex marriage, and an even larger increase in the influence played by one’s feelings towards gays and lesbians. In fact, this particular change was found to be a fundamental driver behind the dramatic shift to majority-support for legal same-sex marriage that Canadians came to hold by 2004.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.029
GPT teacher head0.212
Teacher spread0.183 · 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 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

Citations0
Published2006
Admission routes1
Has abstractyes

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Same topicPlant Diversity and EvolutionFrench-language works237,207