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Record W1823371318 · doi:10.18569/tempus.v4i4.837

La iniciativa internacional por el nacimiento MadreBebé: Un abordaje de la atención materna eficiente a la luz de los derechos humanos

2010· article· es· W1823371318 on OpenAlexaboutno aff
Robbie Davis‐Floyd, Debra Pascali Bonaro, Rae DAVIES, Rodolfo Gómez Ponce de León

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2010
Typearticle
Languagees
FieldHealth Professions
TopicChild and Adolescent Health
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

Este artículo describe la historia, principios y los 10 pasos de la Iniciativa Internacional por el Nacimiento MadreBebé (IMBCI), creado por la Organización Internacional por el Nacimiento MadreBebe, lanzado en marzo de 2008. La IMBCI A iniciativa internacional pelo nascimento MãeBebê: Uma abordagem de um atendimento materno eficiente à luz dos direitos humanos1 The International MotherBaby Childbirth Initiative: A Human Rights Approach to Optimal Maternity Care La iniciativa internacional por el nacimiento MadreBebé: Un abordaje de la atención materna eficiente a la luz de los derechos humanos REFLEXÕES SOBRE HUMANIZAÇÃO E A REALIDADE DOS SERVIÇOS REFLECTIONS ON HUMANIZATION AND THE REALITY OF HEALTH SERVICES REFLEXIONES SOBRE LA HUMANIZACIÓN Y LA REALIDAD DE LOS SERVICIOS 94 // Rev Tempus Actas Saúde Col actualmente está desarrollando tres proyectos ilotos en hospitales de Quebec, Brasil y Austria y construye en varios países la Red MadreBebé (MBnets). Un componente critico de la IMBCI es destacar el hecho de que “los derechos de las mujeres y de los niños son derechos humanos” y que “el acceso a la salud humana e eficaz es un derecho humano básico”.

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)0.006
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.085
Threshold uncertainty score0.170

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0050.014
Scholarly communication0.0080.004
Open science0.0010.009
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0040.001

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 head0.154
GPT teacher head0.611
Teacher spread0.457 · 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 designTheoretical or conceptual
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
Published2010
Admission routes1
Has abstractyes

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