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Record W2096351621 · doi:10.1017/s0008423909990060

The Origins of Political Attitudes and Behaviours: An Analysis Using Twins

2009· article· en· W2096351621 on OpenAlexaffabout
Edward Bell, Julie Aitken Schermer, Philip A. Vernon

Bibliographic record

VenueCanadian Journal of Political Science · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Intergroup Psychology
Canadian institutionsWestern University
Fundersnot available
KeywordsPoliticsHeritabilityFeelingIdentification (biology)Personality psychologyConservatismPolitical scienceHumanitiesSocial psychologyWelfare economicsPositive economicsPersonalityPsychologyPhilosophyLawBiologyGeneticsEconomics

Abstract

fetched live from OpenAlex

Abstract.This article provides a behaviour genetic heritability analysis of several political issues, including social and economic conservatism, general interest in politics, attitudes toward the major Canadian federal parties, federal party identification and national vote choice. Substantial genetic effects were found for four of six political attitude scales, with heritability values ranging from 41 per cent to 73 per cent. Genetic effects are also reported for several individual items (including feelings toward the major federal parties, party identification and vote choice), with heritabilities from 33 per cent to 62 per cent. The implications of these results for conventional political analyses are explored. Also presented is a theoretical interpretation of political heritability that is derived from an evolutionary perspective which suggests that political personalities or temperaments have evolved that are analogous to the heritable personality structures proposed by psychologists. Résumé.Cet article propose une analyse sur l'héritabilité de la génétique du comportement concernant plusieurs questions politiques, y compris le conservatisme social et économique, l'intérêt général pour la politique, les attitudes envers les principaux partis fédéraux canadiens, l'identification à un parti et le choix de vote au niveau national. Des effets génétiques notables ont été recensés pour quatre des échelles politiques d'attitude sur six, les taux d'héritabilité s'étendant de 41 pour cent à 73 pour cent. Des effets génétiques ont également été recensés pour plusieurs autres éléments étudiés (y compris les sentiments envers les principaux partis fédéraux, l'identification à un parti et le choix de vote), les taux d'héritabilité allant cette fois-ci de 33 pour cent à 62 pour cent. Cette étude explore l'incidence de ces résultats sur des analyses politiques conventionnelles. Il s'agit aussi d'une interprétation théorique de l'héritabilité politique dérivant d'une perspective évolutionnaire, qui suggère que les personnalités ou les tempéraments politiques ont évolué et que ces derniers sont analogues aux structures de personnalité transmissibles proposées par les psychologues.

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)0.002
metaresearch head score (Gemma)0.006
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 score0.018
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.048
GPT teacher head0.406
Teacher spread0.358 · 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

Citations62
Published2009
Admission routes2
Has abstractyes

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