MétaCan
Menu
Back to cohort
Record W4361198726 · doi:10.3917/dia.239.0067

Tisser une trame relationnelle autour de l’enfant : les affiliations familiales en contexte de gestation pour autrui et de don d’ovules

2023· article· fr· W4361198726 on OpenAlexaffabout
Kévin Lavoie, Isabel Côté

Bibliographic record

VenueDialogue · 2023
Typearticle
Languagefr
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsUniversité du Québec en OutaouaisUniversité LavalMinistère de l’Emploi et de la Solidarité Sociale (Québec)
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Le présent article porte sur la trame relationnelle tissée autour de l’enfant né par gestation pour autrui ou conçu grâce à un don d’ovules, et plus spécifiquement sur les affiliations familiales qui émergent de ce processus inédit d’enfantement à plusieurs. La démonstration s’appuie sur les récits de 38 femmes canadiennes impliquées dans une entente de procréation assistée avec autrui en tant que mères, femmes porteuses ou donneuses. Deux cas de figure mettant en lumière la construction des liens d’apparentement entre les personnes concernées sont présentés, qu’il s’agisse d’une inscription dans le réseau de parenté de l’enfant ou d’une reconnaissance symbolique mutuelle basée sur l’amitié. La proximité relationnelle entre les adultes est au cœur d’une filiation métissée qui témoigne de leur préoccupation commune envers l’intérêt de l’enfant.

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)0.004
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 score0.025
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.007
Scholarly communication0.0030.002
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.033
GPT teacher head0.341
Teacher spread0.308 · 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 routes2
Has abstractyes

Explore more

Same venueDialogueSame topicReproductive Health and TechnologiesFrench-language works237,207