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Record W3217165156 · doi:10.7202/1083792ar

De la conjugalité à distance au soin du corps du conjoint dans un contexte de migration internationale

2021· article· fr· W3217165156 on OpenAlexvenueno aff
Françoise Lestage

Bibliographic record

VenueAnthropologie et Sociétés · 2021
Typearticle
Languagefr
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsnot available
FundersAgence Nationale de la Recherche
KeywordsHumanitiesPolitical scienceSociologyArtPhilosophy

Abstract

fetched live from OpenAlex

Pour nombre de Mexicains, la fin de vie et la mort adviennent dans un espace social, juridique, administratif et géographique binational. À partir de deux cas d’étude emblématiques tirés d’entretiens réalisés avec des couples ruraux de plus de soixante ans originaires de l’État d’Oaxaca, cet article interroge les effets du cadre administratif et juridique binational sur les pratiques d’accompagnement du migrant âgé malade ou défunt par sa conjointe, et sur le choix du lieu de fin de vie du migrant. L’auteure conclut qu’à la fin de la vie, malgré des différences entre les situations des couples et quelles que soient les contraintes du contexte binational, un nouvel équilibre s’établit au profit de l’épouse du migrant chargée de prendre soin du corps malade ou mort de son mari. Une telle situation contraste avec la relation de conjugalité à distance pendant la période migratoire, dominée par l’absence du mari et par le manque de prise de la femme sur l’organisation du temps et de l’espace du couple.

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)0.005
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.062
Threshold uncertainty score0.123

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.009
Scholarly communication0.0030.002
Open science0.0010.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.067
GPT teacher head0.463
Teacher spread0.396 · 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
Published2021
Admission routes1
Has abstractyes

Explore more

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