MétaCan
Menu
Back to cohort
Record W4389797103 · doi:10.4000/vertigo.41014

L’écologie en plus. Des justifications environnementales de la non-procréation

2023· article· fr· W4389797103 on OpenAlexvenueno aff
Clarisse Veaux, Sébastiên Roux

Bibliographic record

VenueVertigO · 2023
Typearticle
Languagefr
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsnot available
FundersAgence Nationale de la Recherche
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

La « crise écologique » bouleverserait nos comportements reproductifs. Alertés par l’insoutenabilité d’un excès démographique supposé ou inquiets d’un futur qu’on annonce apocalyptique, de plus en plus d’individus choisiraient de renoncer à la procréation et s’interdiraient, par souci éthique, d’avoir des enfants. À partir d’une enquête récente auprès d’une jeune génération de « childfree », nous montrons que la question environnementale traverse effectivement certains choix d’agencement familial. Mais les entretiens indiquent aussi que l’écologie apparaît comme un argument éthique secondaire, légitimant – voire anoblissant – le souhait préalable d’une vie sans enfants. En donnant à entendre les arguments de ceux, et surtout celles, qui choisissent de ne pas avoir d’enfants pour préserver l’environnement, l’article montre que leur souci, moins qu’une tendance partagée, s’inscrit en réalité dans un contexte singulier où la volonté de ne pas procréer reste entachée d’un stigmate puissant, appelant à des stratégies de justification et d’évitement.

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)0.003
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.023
Scholarly communication0.0080.005
Open science0.0010.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0160.002

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 head0.041
GPT teacher head0.353
Teacher spread0.312 · 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 designNot applicable
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

Citations2
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueVertigOSame topicReproductive Health and TechnologiesFrench-language works237,207