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Record W4407948844 · doi:10.24850/j-tyca-2025-02-10

Política hídrica en Veracruz, una mirada desde la coherencia vertical, la transparencia y el alfabetismo hídrico

2025· article· es· W4407948844 on OpenAlexaff
Carmen Maganda, María del Socorro Aguilar Cucurachi, Julia Ros Cuellar, María del Socorro Lara López, Georgina Vidriales-Chan, Miriam G. Ramos-Escobedo

Bibliographic record

VenueTecnología y Ciencias del Agua · 2025
Typearticle
Languagees
FieldEnvironmental Science
TopicWater Resource Management and Quality
Canadian institutionsBishop's University
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Este artículo tiene como objetivo 1) presentar una compilación actualizada del material legislativo y normativo en materia de política hídrica, planes de desarrollo y programas regionales del agua del nivel nacional al estado de Veracruz, México, con el fin de 2) analizar la coherencia vertical de la política hídrica en dos niveles de gobierno: nacional y estatal en el periodo 2019-2022; así como 3) reforzar la importancia de la transparencia de información bajo el enfoque del alfabetismo hídrico. A manera de una línea del tiempo, presentaremos los resultados de una profusa investigación documental sobre diversas leyes e instrumentos de planeación, al igual que un mapeo de los instrumentos de política pública y organismos con atribuciones en cada nivel de gobierno. Esta compilación pretende llenar el vacío informativo temporal y de contenido en la materia, y documentar y analizar la coherencia vertical de las leyes, planes y programas hídricos oficiales emitidos en el periodo citado.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.179
Threshold uncertainty score0.356

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.002
Scholarly communication0.0050.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.000

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 head0.011
GPT teacher head0.281
Teacher spread0.270 · 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 designQualitative
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
Published2025
Admission routes1
Has abstractyes

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