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Record W2997770101

Discriminée avant la naissance : la sélection fondée sur le sexe en droit international

2016· article· fr· W2997770101 on OpenAlexaff
Julie Roy

Bibliographic record

Venuenot available
Typearticle
Languagefr
FieldSocial Sciences
TopicDemographic Trends and Gender Preferences
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPolitical scienceEthnologyPhilosophySociology
DOInot available

Abstract

fetched live from OpenAlex

Cet article tente d'elucider comment le systeme de protection des droits de l'homme de l'Organisation des Nations Unies (ONU) aborde la problematique de la selection fondee sur le sexe, c'est-a-dire l'ensemble des pratiques discriminatoires a l'egard des filles visant a favoriser la naissance et l'epanouissement des fils au sein de la famille. Concretement, cet article propose une analyse des travaux du Comite pour l'elimination de la discrimination a l'egard des femmes et du Comite des droits de l'enfant. Il s’attarde d’une part aux recommandations/observations generales de ces deux comites et d’autre part aux observations finales adressees a la Chine et a l’Inde. L’analyse demontre une progression dans la comprehension des causes et des effets de la selection fondee sur le sexe, mais aussi un certain decalage avec la realite sur le terrain.

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)0.008
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: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.000

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 head0.046
GPT teacher head0.301
Teacher spread0.255 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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