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The Salience of Post‐materialism in Canadian Politics*

2002· article· fr· W1987725936 on OpenAlexaffabout
Jonah Butovsky

Bibliographic record

VenueCanadian Review of Sociology/Revue canadienne de sociologie · 2002
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial and Cultural Dynamics
Canadian institutionsBrock University
Fundersnot available
KeywordsMaterialismHumanitiesPoliticsEthnologySociologyPolitical sciencePhilosophyTheology

Abstract

fetched live from OpenAlex

Dans une série d'écrits influents, Ronald Inglehart présente des arguments pour montrer que la politique des démocraties occidentales en est venue à tourner davantage autour de conflits de valeurs que de la distribution de la richesse et du pouvoir. À la suite des études sur les élections canadiennes de 1988, 1993 et 1997, l'auteur reconnaît peu de signes que des questions postmatérialistes délogent des questions matérialistes en politique canadienne. Selon les sondages électoraux, les problèmes matérialistes comme le chômage, le déficit et les impôts sont les préoccupations premières des électeurs au moment des élections. Il a aussi trouvé que les Canadiens, au cours des quelque 15 dernières années, sont devenus moins que plus positifs envers les problèmes postmatérialistes. Il conclut qu'Inglehart, plutôt que de lever le voile sur un virage général en politique occidentale, a découvert un phénomène localisé. In a series of influential writings, Ronald Inglehart makes the case that politics in Western democracies has come to revolve around value conflicts more than the distribution of wealth and power. However, after analysing the 1988, 1993 and 1997 Canadian Election Studies, I find little evidence that post‐materialist issues are replacing materialist ones at the core of Canadian politics. According to election surveys, materialist issues like unemployment, the deficit and taxes are the primary focus of voters during elections. I also find that Canadians have become less rather than more positive toward post‐materialist issues over the past 15 years or so. I conclude that rather than uncovering a global shift in Western politics, Inglehart identified a localized phenomenon.

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)0.003
metaresearch head score (Gemma)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.166
Threshold uncertainty score0.967

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.007
Science and technology studies0.0240.017
Scholarly communication0.0090.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.000

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 head0.046
GPT teacher head0.277
Teacher spread0.230 · 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

Citations7
Published2002
Admission routes2
Has abstractyes

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