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Record W2473516618 · doi:10.29173/cjs25170

After Postmaterialism: An Essay on China, Russia and the United States

2016· article· en· W2473516618 on OpenAlexaffvenue
Robert J. Brym

Bibliographic record

VenueThe Canadian Journal of Sociology · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicRussia and Soviet political economy
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsXenophobiaSustenanceChinaAutonomyInequalitySociologyDevelopment economicsNationalismPolitical economyGeopoliticsPolitical scienceEconomicsGender studiesLawRacismPolitics

Abstract

fetched live from OpenAlex

The postmaterialist thesis makes two main claims. First, over time, rising affluence enables many people to substantially satisfy their need for security and economic sustenance, allowing them to focus on pursuing personal autonomy and self-expression. Second, at a given time, younger people, individuals in higher socio-economic positions and wealthier societies tend to be more postmaterialistic than are older people, individuals in lower socio-economic positions and poorer societies. Cursory analysis of American, Chinese and Russian survey data since the late 1980s demonstrates that some of these generalizations are difficult to sustain. While postmaterialism may have been on the rise in some countries in the last decades of the 20th century, it seems now to be a waning force among major world powers, giving way to increasing nationalism and xenophobia. The absence in postmaterialist theory of an adequate explanation for this trend suggests the need to pay more attention to the causes of alternative development paths. Two such causes are outlined in this essay: intensifying geopolitical rivalries and growing economic inequality.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.202
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.013
GPT teacher head0.265
Teacher spread0.252 · 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.

Study designTheoretical or conceptual
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

Citations28
Published2016
Admission routes2
Has abstractyes

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