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Record W2785712992 · doi:10.20937/rica.2018.34.01.01

PLAGUICIDAS AGRICOLAS: UN MARCO DE REFERENCIA PARA EVALUAR RIESGOS A LA SALUD EN COMUNIDADES RURALES EN EL ESTADO DE SONORA, MÉXICO

2018· article· es· W2785712992 on OpenAlexaff
María Isabel Silveira-Gramont, María Lourdes Aldana-Madrid, Julián Piri-Santana, Ana Isabel Valenzuela-Quintanar, Graciela Jasa-Silveira, Guillermo Rodríguez‐Olibarria

Bibliographic record

VenueRevista Internacional de Contaminación Ambiental · 2018
Typearticle
Languagees
FieldAgricultural and Biological Sciences
TopicPesticide Exposure and Toxicity
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesPolitical scienceGeographyPhilosophy

Abstract

fetched live from OpenAlex

En diferentes proyectos realizados en Sonora, Mxico, se comprob la presencia de contaminacin por agroqumicos en trabajadores y habitantes de localidades rurales aledaas a campos de cultivo. Para evaluar el peligro que representa para la salud de los habitantes la exposicin pasiva de dichos compuestos, se requiere informacin confiable y actualizada sobre cultivos sembrados y plagas, as como cantidades, dosis y formas de aplicacin de los plaguicidas utilizados, especialmente aquellos con potencial de riesgo para la salud. En este trabajo se propone un marco de referencia que permita identificar la informacin con que se cuenta a nivel local, como lo es el Distrito de Desarrollo Rural (DDR) 144-Hermosillo sobre cultivos y sus plagas, adems de la intensidad y frecuencia de aplicacin de plaguicidas por aspersin. En el periodo 2010 a 2014, nueve cultivos ocupaban el 80 % de la superficie sembrada en el DDR 144 Hermosillo y podan emplear 24 productos agroqumicos aplicados por aspersin. De stos, los insecticidas organofosforados y herbicidas llegan a aplicarse de 16 a 211 t en 72 500 ha en una temporada, varios de estos plaguicidas son moderadamente persistentes en el ambiente y se consideran con efectos adversos a la salud por organizaciones nacionales e internacionales. Se concluye que en los predios agrcolas se asperjan suficientes cantidades de plaguicidas peligrosos, que pueden afectar la salud de los habitantes de localidades cercanas.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.333
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.288
Teacher spread0.272 · 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 teacher head, not a consensus.

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

Citations42
Published2018
Admission routes1
Has abstractyes

Explore more

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