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Record W659509127

Civic integration and modern citizenship : the Netherlands in perspective

2009· book· en· W659509127 on OpenAlexaboutno aff
Jeanine Klaver, Arend Odé

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicEuropean Union Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsCitizenshipPerspective (graphical)Political scienceSociologyEpistemologyEnvironmental ethicsPublic administrationLawPhilosophyArtVisual artsPolitics
DOInot available

Abstract

fetched live from OpenAlex

"In this study the experience in the Netherlands with civic integration policies will be explained in a detailed and systematic way. As it stands, the Netherlands presently has one of the most encompassing and coercive civic integration policies, which is characterised by overseas civic integration testing, a general obligation to pass a civic integration exam for all foreign nationals and the existence of an elaborate sanctioning regime. Our main purpose is to understand the legitimacy of civic integration in this country, particularly through analysing its main implications and effects from a broader perspective. This perspective consists of an historical context, a framework of modern citizenship rights, and a cross border comparison of different national integration concepts. The principal issues to be addressed are the political and social arguments which lay behind the introduction of civic integration policies, and the extent to which these policies fit within academic notions of modern citizenship. In addition, the Dutch model of civic integration will be set against alternative national integration strategies as prevailing in some other immigrant receiving countries, particularly Belgium, Canada and the United States."--Publisher's description.

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)0.001
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 score0.048
Threshold uncertainty score0.095

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.005
Scholarly communication0.0090.006
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.029
GPT teacher head0.299
Teacher spread0.270 · 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

Citations34
Published2009
Admission routes1
Has abstractyes

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