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Record W2172048640 · doi:10.1080/01402380701833699

Change in European Societies since the 1970s

2008· article· en· W2172048640 on OpenAlexaff
Colin Crouch

Bibliographic record

VenueWest European Politics · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Policy and Reform Studies
Canadian institutionsInstitute on Governance
Fundersnot available
KeywordsSalientTheme (computing)PoliticsDeviance (statistics)ImmigrationSociologyDiversity (politics)State (computer science)Political economySocial sciencePositive economicsPolitical scienceLawEconomics

Abstract

fetched live from OpenAlex

Sociology lags considerably behind political science in its comparative research on European societies, but enough material now exists to enable us to talk broadly about the major changes that have taken place since the 1970s across western Europe, and also to some extent central and eastern Europe too. Attention is here concentrated on those social trends that seem particularly salient for the study of politics, with occupational structure as the starting point. Although this dominant theme of classical sociology has tended to be neglected by much recent research in favour of such areas as deviance, gender and the formation of identities, working life remains fundamental to social organisation and in particular to politics. In fact, the theme of gender is easily accessed through consideration of changes in occupations, and considerable attention will be devoted to it here. This leads in turn to consideration of the family, then on to other aspects of demography including immigration and cultural diversity. This relates clearly to the final theme that will be discussed: the state of religion in Europe. In the conclusions some of the political implications of these changes are brought together.

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: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.005
Science and technology studies0.0030.005
Scholarly communication0.0050.003
Open science0.0000.003
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.100
GPT teacher head0.326
Teacher spread0.226 · 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

Citations26
Published2008
Admission routes1
Has abstractyes

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