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Record W1552486909 · doi:10.7202/1022854ar

Le Nouveau-Brunswick et ses immigrants entrepreneurs : pratiques et stratégies entrepreneuriales dans un contexte inédit

2014· article· fr· W1552486909 on OpenAlexaffvenueabout
Leyla Sall

Bibliographic record

VenueDiversité urbaine · 2014
Typearticle
Languagefr
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsUniversité de Moncton
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

Depuis le début des années 2000, le Nouveau-Brunswick manifeste sa volonté d’avoir « sa part » d’immigrants entrepreneurs. Le recrutement se fait prioritairement en Chine et en Corée du Sud. Pour le gouvernement provincial, souscrivant aux pratiques et aux principes néolibéraux, l’accueil d’immigrants entrepreneurs soigneusement sélectionnés grâce à leurs avoirs financiers et leurs projets d’entreprise permettrait de lutter contre le « mauvais sort » économique de la province caractérisé par un taux de chômage au-dessus de la moyenne canadienne, une population vieillissante et l’incapacité de retenir ses propres jeunes résidents. Si l’État poursuit des objectifs démographiques et économiques, les immigrants recrutés sont tout aussi stratèges. Manoeuvrant en contexte de vulnérabilité entrepreneuriale, leurs pratiques dépendent de leur propre « feuille de route migratoire ». Cet article met en évidence le caractère inédit et vulnérable de la situation des immigrants entrepreneurs néo-brunswickois.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.367
Threshold uncertainty score1.000

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 studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.014
GPT teacher head0.242
Teacher spread0.228 · 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.

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

Citations3
Published2014
Admission routes3
Has abstractyes

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