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Record W1557894040

Seguring a future for children: the internacional obligation to protect and assist the natural family

2009· article· en· W1557894040 on OpenAlexaboutno aff
Jane Adolphe

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Human Rights and Reproductive Law
Canadian institutionsnot available
Fundersnot available
KeywordsObligationNatural (archaeology)Political scienceGeographyLawArchaeology
DOInot available

Abstract

fetched live from OpenAlex

El presente escrito sostiene que el artículo 16(3) de la Declaración Universal de los Derechos Humanos se ha convertido en derecho internacional consuetudinario y, por tanto, todos los Estados están obligados a promover, proteger y dar prelación a la familia natural cimentada en el matrimonio entre un hombre y una mujer (como organización nuclear o extendida) sobre las llamadas “nuevas formas de familia” (cohabitación de personas de géneros iguales o distintos, por ejemplo). Esto significa que los Estados incumplen sus obligaciones cuando, bajo el artículo 16(3), otorgan a las llamadas formas alternativas de familia el mismo trato que a los matrimonios heterosexuales concediéndoles, por ejemplo, los mismos beneficios. El artículo analiza a Canadá como caso de estudio para ilustrar de qué manera este país ha incumplido sus obligaciones. Con este propósito, el presente artículo tomará en consideración de qué manera y por qué razón el gobierno federal canadiense ha contribuido a la crisis de la familia natural en ese país, como lo evidencian las crecientes tasas de separación, divorcio y formas alternativas de familia (cohabitación, por ejemplo) y su trato como equivalentes de la familia natural.

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)0.004
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 score0.855
Threshold uncertainty score0.291

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0150.026
Scholarly communication0.0060.002
Open science0.0010.004
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0030.000

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 head0.017
GPT teacher head0.267
Teacher spread0.250 · 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
Published2009
Admission routes1
Has abstractyes

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