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Record W98567124

Las políticas de inmigración del gobierno de Quebec en el contexto de las políticas multiculturales de Canadá. Notas contextuales para un trabajo social en medio multiétnico.

2001· article· es· W98567124 on OpenAlexaboutno aff
Enrique E. Raya Lozano

Bibliographic record

VenueMigraciones. Publicación del Instituto Universitario de Estudios sobre Migraciones · 2001
Typearticle
Languagees
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsMulticulturalismImmigrationPoliticsCitizenshipInterculturalismIdeologyPolitical scienceDiversity (politics)Immigration policyPublic policyGlobalizationIdentity (music)Gender studiesSociologyHumanitiesLaw
DOInot available

Abstract

fetched live from OpenAlex

The English-speaking Canada and the rebellious Frenchspeaking «province» of Quebec are going through a broad and deep identity crisis that dates back to the 19th century, but intensified in the new age of globalization. A country created by immigration, it is still a country of immigration and one of the most multiethnic countries in the world. Multiculturalism is the model of political management that belongs to this diversity and the ideology that legitimates it —a Canadian inventio— at the same time that it recognizes, ignores and eludes the internal conflict —the Canada-Quebec conflict— that implicitly determines the differentiated migratory policies of both political communities. On its part, Quebequian multiculturalism («interculturalism») shows two different models (pro-assimilation and pro differentiation). These tensions, ambiguities, and diversity of models shape the current Canadian and Quebequian debate about citizenship, which conditions and functions as a frame of reference for social work (professional social intervention) with immigrants, very developed both in theory and in practice in this American country, and that is aware of the political challenges offered by multiculturalism in Ottawa and Quebec. The study and evaluation of this dynamic reality can be extremely useful in Europe, both North and South, for working out public policies and organizing social work in a multiethnic environment.

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 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)0.004
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.371
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.003
Science and technology studies0.0060.004
Scholarly communication0.0010.003
Open science0.0030.001
Research integrity0.0020.002
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 head0.032
GPT teacher head0.333
Teacher spread0.301 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2001
Admission routes1
Has abstractyes

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