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Stability and Change in Dutch PoliticsIntroduction to the Handbook

2025· book-chapter· en· W4406739320 on OpenAlexaff
Sarah L. de Lange, Tom Louwerse, Paul ‘t Hart, Carolien van Ham

Bibliographic record

VenueOxford University Press eBooks · 2025
Typebook-chapter
Languageen
FieldSocial Sciences
TopicElectoral Systems and Political Participation
Canadian institutionsInstitute on Governance
Fundersnot available
KeywordsStability (learning theory)PsychologyComputer scienceMachine learning

Abstract

fetched live from OpenAlex

Abstract This introductory chapter to The Oxford Handbook of Dutch Politics offers two ‘snapshots’ of Dutch society and its political system. The first, set in 1963, documents the heyday of the politics of accommodation (as made famous by Arend Lijphart’s classic case study of Dutch political life). The other captures the present moment, 60 years on, and suggests that although there has been great constitutional and institutional stability in the intervening decades, the significant demographic, socio-economic, and cultural changes in Dutch society that have taken place have left their mark on how the Dutch political system operates. In addition, the chapter surveys how the study of Dutch politics—conducted mainly but certainly not exclusively by political scientists—has evolved over this same period. In the final part of the chapter, the design of the Handbook is presented and explained. The chapter ends by briefly showcasing what the six constituent thematic parts offer.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.029
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0010.002
Scholarly communication0.0050.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0290.004

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 head0.069
GPT teacher head0.290
Teacher spread0.221 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2025
Admission routes1
Has abstractyes

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