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Record W4365399386 · doi:10.7202/1097359ar

Im/migration: Family Strategies and Access to Rights

2023· article· en· W4365399386 on OpenAlexaffvenueabout
Catherine Delcroix, Josiane Le Gall, Elise Pape

Bibliographic record

VenueEnfances Familles Générations · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicMulticulturalism, Politics, Migration, Gender
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsLegitimacyContext (archaeology)PoliticsPolitical scienceResidenceSociologyEconomic growthGeographyLaw

Abstract

fetched live from OpenAlex

Objectives : The aim of this issue of the journal is to study the way in which "making a family" influences access to rights and the integration of migrant families in Europe (France, Germany), North America (Quebec) and Djibouti, from Yemen, Syria, Tunisia, Mozambique or Brazil. Similarly, and reciprocally, he is interested in the impact of law on family experiences in a migratory context. Methodology : The ethnographic observation approach, through the cross-referenced collection of life stories and the reconstruction of the life contexts of these migrants (while respecting their words and their anonymity) makes it possible to discover, sometimes in a counter-intuitive way, the effects of the policies on their lives. Results : It often happens that within the same migrant family the legal status of its members is different, and therefore their rights to be regularised or not. As a result, these families - and more broadly, entire groups of migrants - have to carry out important work in terms of information for access to residence rights, work, access to schooling for their children, health, nationality, etc. Nothing is guaranteed a priori. Conclusion : We can imagine how much migration will continue in the face of climate change and political unrest throughout history. It is likely that a policy evaluation approach, or lack thereof, by those affected, will be increasingly necessary in the future. Contribution : This thematic issue of the journal Enfances Familles Générations highlights, from a historical and comparative approach, the impact of the legitimacy of being part of the national community to which these men and women have migrated (Destremau, 2022).

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.007
Scholarly communication0.0050.004
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.001

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 head0.159
GPT teacher head0.455
Teacher spread0.296 · 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 designQualitative
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
Published2023
Admission routes3
Has abstractyes

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