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Record W6912152952 · doi:10.5281/zenodo.15295511

FRACTURE MIGRATOIRE

2025· article· fr· W6912152952 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Languagefr
FieldSocial Sciences
TopicMigration and Exile Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFace (sociological concept)PopulationImmigrationQualitative analysis

Abstract

fetched live from OpenAlex

RESUME Face à la montée de la migration en direction du Canada qui a court actuellement ,il semble essentiel d’ étudier son influence sur le migrant ,les familles et la société globale .Cet article explore la façon dont les migrants font face à la fracture migratoire causée par la rencontre de deux cultures .Dans cette optique une méthode largement qualitative a été adoptée ,consistant en une enquête rétrospective dans le milieu de départ, soutenue par le repérage des événements de migration vers le Canada survenus au cours de ces dernières années dans la population camerounaise .Les résultats obtenus lèvent le voile sur des pistes axés sur l’insertion ,la sortie de la précarité et la compétence .En l’absence de ces pistes ,le migrant peut au mieux pour faire face à la fracture migratoire acquérir une double culture au fil du temps. Mots clés : Famille-Migration-Lien Social-Crise de l’identité-Intégration ABSTRACT Given the current surge in migration to Canada, it seems essential to study its influence on the migrant, families and society as a whole. This article explores how migrants cope with the migratory divide caused by the meeting of two cultures. To this end, a largely qualitative method was adopted, consisting of a retrospective survey in the place of departure, supported by the identification of migration events to Canada that have occurred in recent years in the Cameroonian population. The results obtained lift the veil on avenues focused on integration, the exit from precariousness and competence. In the absence of these avenues, the migrant can at best cope with the migration divide by acquiring a dual culture over time. Key words: Family-Migration-Social cohesion-Identity crisis-Integration

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.137
Threshold uncertainty score0.457

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1370.016

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 head0.031
GPT teacher head0.289
Teacher spread0.258 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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