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Record W2245395231

Linguistic Requirements for Immgrants, Specifically whith regard to languajes that Enjoy Official Status in Part of the Terrytory

2008· article· en· W2245395231 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Criminal Justice and Data Protection
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsImmigrationNaturalizationCompetition (biology)Political scienceState (computer science)Order (exchange)Subject (documents)Perspective (graphical)DeportationLawBusinessCitizenshipAlien
DOInot available

Abstract

fetched live from OpenAlex

In this comparative law study, I will examine the linguistic requirements that are imposed on immigrants as a condition for permanent residency and naturalization. I am particularly interested in cases in which the language to be acquired by immigrants is one that enjoys official status in part of the territory of the host State. Nevertheless, in order to gain a larger perspective and to make use of a wider range of comparative material, I will begin by examining the general trends in European countries by taking advantage of a recent study on the subject done under the patronage of the Council of Europe. I will then look at the situation in three traditional immigration countries outside of Europe (Australia, New Zealand and the United States of America). Finally, I will examine three countries (Belgium, Switzerland and Canada) where there exists a situation of contact and competition, or even conflict, between two or more national languages. In such cases, one or more regional governments have often deemed it necessary to take measures to protect and promote one or more of these languages.

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.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.761
Threshold uncertainty score0.786

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.129
GPT teacher head0.337
Teacher spread0.208 · 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