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Record W7135711053

Multiculturalism in Netherlands and Canada

2011· dissertation· cs· W7135711053 on OpenAlexaboutno aff
Barbora Červeňová

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2011
Typedissertation
Languagecs
FieldSocial Sciences
TopicMinority Rights and Languages
Canadian institutionsnot available
Fundersnot available
KeywordsMulticulturalismIdentity (music)State (computer science)National identityImmigrationCultural diversity
DOInot available

Abstract

fetched live from OpenAlex

Diploma thesis focuses on integration policies in the Netherlands and Canada since 1970' s till nowadays. Both countries are well known for implementing multiculturalism. Canada has become the only country that through Multiculturalism Act claimed official support for multiculturalism policy and is still doing so even recently when this model is being refused by most of the other countries. Such a situation developed in the Netherlands which became an example of a failure of multiculturalism. However multiculturalism was of a different kind in each of those countries and so was the final form of integration policies. The aim of this diploma thesis is to analyse similarities and differences in both integration policies and to find relevant factors that impacted their failure in the Netherlands and their success in Canada. Diploma thesis describes the basic milestones in the development of integration policies and changes in the respective time period. It also points out the main differences in the concept of multiculturalism in the Netherlands and Canada and tries to explain it on the historical, state building, national identity and multiculture background.

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)0.002
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: Qualitative · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.098
Threshold uncertainty score0.713

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0090.003
Scholarly communication0.0070.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.008
GPT teacher head0.238
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 designQualitative
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
Published2011
Admission routes1
Has abstractyes

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