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Record W3122892207 · doi:10.31234/osf.io/qvrns

Sacralizing Liberals and Fair-Minded Conservatives: Ideological Symmetry in the Moral Motives in the Culture War

2017· article· en· W3122892207 on OpenAlexaff
Jeremy A. Frimer, Matt Motyl, Caitlin E. Tell

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPsychology
TopicCultural Differences and Values
Canadian institutionsUniversity of Winnipeg
Fundersnot available
KeywordsPoliticsIdeologyStalemateLawPolitical scienceSociologyEnvironmental ethicsPhilosophy

Abstract

fetched live from OpenAlex

Political arguments may endure seemingly into perpetuity because the conflicted combatants view the issues in different ways, with one side decrying unfairness and the other side decrying attacks on the sacrosanct. We tested whether both conservatives and liberals rely on protecting the sacrosanct when justifying their attitudes on some contentious moral issues. In 4 studies, we examine how liberals and conservatives justify their political attitudes on the issues of same-sex marriage and the Keystone XL oil pipeline. Liberals supported same-sex marriage rights primarily in the name of fairness and equality; conservatives primarily opposed same-sex marriage rights as a matter of protecting the sanctity of traditional marriage. Symmetrically, liberals primarily opposed the development of the Keystone XL oil pipeline as a matter of protecting the sanctity of the Earth; conservatives supported the development of the pipeline as a matter of promoting fairness (e.g., corporate rights; as well as citing economic and foreign policy implications). Like conservatives, liberals also bring sacred thinking to moral issues. The culture war is mired in stalemate partly because each side considers some matters to be sacrosanct, and other matters as suitable for revision in the name of fairness.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.105
Threshold uncertainty score0.288

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 science0.0010.000
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 head0.194
GPT teacher head0.414
Teacher spread0.220 · 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.

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

Citations5
Published2017
Admission routes1
Has abstractyes

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