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Record W2999056552 · doi:10.31861/mhpi2019.40.119-124

Francophone Immigrants Outside Quebec and Anglophone Immigration in Quebec: A Comparatative Statistical Data Analysis

2019· article· en· W2999056552 on OpenAlexaboutno aff
Taras Lupul

Bibliographic record

VenueModern Historical and Political Issues · 2019
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Systems and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationFrenchPolitical scienceOfficial languageDemographic economicsSociologyHistoryLawEconomics

Abstract

fetched live from OpenAlex

In this article, French-speaking immigrants who settle outside Quebec are referred to as “French-speaking immigrants”, similarly, “Francophone immigration” refers to the arrival of French-speaking immigrants in Canadian provinces and territories other than Quebec. The statistical data analysis shows that there are strong distinguishes between immigrants, who speak French as their first official language and those who speak both English and French as their first official language. According to the statistics, there are differences between these two groups in terms of their demographic and socio-economic characteristics. This article also marks English-speaking immigrants who settle in Quebec are referred to as “English-speaking immigrants”, similarly, “Anglophone immigration” refers to the arrival of English-speaking immigrants in Quebec.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.258
Threshold uncertainty score0.792

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.091
GPT teacher head0.446
Teacher spread0.355 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2019
Admission routes1
Has abstractyes

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