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Record W2791268563 · doi:10.7202/1042320ar

L’infécondité volontaire

2017· article· fr· W2791268563 on OpenAlexaffvenue
Catherine de Pierrepont, Joseph J. Lévy

Bibliographic record

VenueAnthropologie et Sociétés · 2017
Typearticle
Languagefr
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsUniversité du Québec à MontréalUniversité de Sherbrooke
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Le choix d’une infécondité volontaire, qui s’inscrit dans le mouvement du Childfree by Choice (l’un des éléments de la Seconde transition démographique), fait aujourd’hui l’objet de discussions sur les forums en ligne. Consécutivement à une analyse de contenu exploratoire et descriptive d’un forum de discussion international dédié aux non parents par choix, quatre catégories de motivations ont pu être dégagées : une simple absence de désir d’enfant, une remise en question des rôles et des contraintes qu’impose un enfant, une perception négative des enfants, et des raisons « altruistes » liées à la détérioration de l’environnement et à la surpopulation. Les enjeux associés à la transmission (maladies héréditaires, qualités de la progéniture, transmission des gènes, nom de famille, héritage, etc.) sont aussi soulevés, montrant l’importance de certaines de ces préoccupations chez les tenants de l’infécondité volontaire. Cette étude permet de valider les conclusions des recherches menées sur cette population et d’élargir les analyses en tenant compte des débats entourant la transmission, une problématique qui reste encore peu explorée dans le contexte de l’infécondité volontaire.

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)0.004
metaresearch head score (Gemma)0.007
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 score0.014
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.004
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0140.001

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 head0.174
GPT teacher head0.574
Teacher spread0.400 · 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

Citations3
Published2017
Admission routes2
Has abstractyes

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