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Record W2109999633 · doi:10.7202/011206ar

Naissances prémaritales au Sénégal : confrontation de modèles urbain et rural

2005· article· fr· W2109999633 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCahiers québécois de démographie · 2005
Typearticle
Languagefr
FieldSocial Sciences
TopicMigration, Identity, and Health
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Au Sénégal, mariage et procréation demeurent fortement associés dans les représentations sociales. Avec le recul de l’âge au premier mariage, la maternité en période de célibat est une réalité de plus en plus fréquente. À partir d’une comparaison entre deux populations contrastées, celle de la capitale (Dakar) et celle d’une région rurale (Niakhar), nous avons cherché à mieux comprendre les mécanismes d’entrée en vie conjugale et maternelle chez les femmes au Sénégal, et à déterminer les facteurs des naissances prémaritales. À Niakhar, l’expérience urbaine s’avère déterminante pour le risque de devenir mère célibataire. À Dakar, le fait d’avoir grandi en milieu rural renforce le risque de mettre un enfant au monde avant de se marier, particulièrement pour les jeunes filles qui travaillent comme domestiques. C’est certainement durant cette période de vie prémaritale, où les statuts individuels sont fragiles, que les enjeux dans le domaine des politiques de santé de la reproduction sont les plus forts.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.574
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.003
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.017
GPT teacher head0.296
Teacher spread0.279 · 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