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Record W7110577227

Derrames de petróleo y afectación a la salud materno infantil en pueblos indígenas de la Amazonía Peruana: Un Análisis exploratorio desde los determinantes de la salud

2019· article· W7110577227 on OpenAlexaboutno aff

Bibliographic record

VenueLirias (KU Leuven) · 2019
Typearticle
Language
FieldHealth Professions
TopicIndigenous Health and Education
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)PopulationBreast feedingStatistical analysisBreastfeeding
DOInot available

Abstract

fetched live from OpenAlex

El título completo de la investigación es "Derrames de petróleo y afectación a la salud materno infantil en pueblos indígenas de la Amazonía peruana: un análisis exploratorio desde los determinantes de la salud". Su objetivo es analizar la influencia de los derrames de petróleo en la salud materno infantil en Loreto, desde la perspectiva de los determinantes de la salud, que incluye el género. La metodología utilizada es interdisciplinaria y abarca métodos cualitativos y cuantitativos que requirieron una visita a la CN Cuninico. Se identificaron impactos directos de los derrames de petróleo en la salud materno infantil a través de revisión de literatura, los cuales coincidieron con los malestares autopercibidos por las madres de la comunidad. Asimismo, se identificaron tres impactos indirectos: la afectación de la seguridad alimentaria, el deterioro de la tranquilidad emocional de las mujeres y la acentuación de la división sexual del trabajo. Este estudio se desarrolló como resultado del XX Concurso Anual de Investigación CIES 2018, con el auspicio de Global Affairs Canada (GAC), el Centro Internacional de Investigaciones para el Desarrollo (IDRC, por sus siglas en inglés), la Fundación Manuel J. Bustamante De la Fuente, la Superintendencia Nacional de Aduanas y de Administración Tributaria (SUNAT) y el Consorcio de Investigación Económica y Social (CIES).

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.156
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0020.003

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 head0.012
GPT teacher head0.370
Teacher spread0.358 · 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; both teacher heads agree on what is shown here.

Study designObservational
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
Published2019
Admission routes1
Has abstractyes

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