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Record W4327544806 · doi:10.3917/rf.020.0042

Les maternités assistées par gestation pour autrui ou par don d’ovules : un modèle compréhensif

2023· article· fr· W4327544806 on OpenAlexaff
Kévin Lavoie

Bibliographic record

VenueRecherches familiales · 2023
Typearticle
Languagefr
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsUniversité LavalCentre Jeunesse de QuebecUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesArtPolitical science

Abstract

fetched live from OpenAlex

Cet article présente un modèle théorique inédit pour penser la construction du rapport à la maternité en contexte de gestation pour autrui et de don d’ovules à l’aune de trois systèmes normatifs : 1) le modèle de parenté euroaméricain qui délimite les frontières familiales et sous-tend la quête de la « vraie » mère, suggérant que le statut ne peut être occupé que par une seule femme ; 2) l’institution de la maternité qui exerce une pression de conformité à une image idéalisée de la mère et favorise l’émergence d’un discours sur le don comme stratégie de neutralisation d’une étiquette déviante et 3) la reproduction stratifiée qui rend saillantes les positions sociales des personnes concernées au regard des inégalités d’accès à certaines filières ou techniques de reproduction assistée.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0030.009
Scholarly communication0.0050.005
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.336
GPT teacher head0.398
Teacher spread0.062 · 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 designTheoretical or conceptual
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

Citations4
Published2023
Admission routes1
Has abstractyes

Explore more

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