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Record W3090333141 · doi:10.47712/rd.2019.v4i2.44

DENUNCIAS Y CONDENAS SOBRE LOS DELITOS CONTRA LA ADMINISTRACIÓN PÚBLICA EN EL PERÚ Y EL SISTEMA ANTICORRUPCIÓN DE PUNO DURANTE EL AÑO 2018, Y PROPUESTAS DE LOS DERECHOS PARA REDUCIR SU COMISIÓN DELICTIVA

2019· article· es· W3090333141 on OpenAlex
Johnn Adrian Casazola León, Kelly Cindy Rojas Bellido, Rocío Elena Sampén Contreras, Deycy Larico Mamani, Michael Espinoza Coila

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueREVISTA DE DERECHO · 2019
Typearticle
Languagees
FieldSocial Sciences
TopicSocial Issues and Policies in Latin America
Canadian institutionsOptech (Canada)
Fundersnot available
KeywordsHumanitiesPolitical scienceGeographyArt

Abstract

fetched live from OpenAlex

El objetivo de estudio fue evaluar, los delitos contra la administración pública, forma parte de la tradición del pensamiento político, social y cultural en nuestra realidad, que aparece bajo el concepto de la corrupción, poniendo en dudas la capacidad y estabilidad del sistema judicial en la toma decisiones legítimas y efectivas. Los estudios de los procesos, resultados, e impactos obtenidos en denuncias y condenas administrativas, son escasos o poco conocidos. En ese sentido, la investigación está orientado a analiza los delitos contra la administración pública en el Perú y la ciudad de Puno, durante el año 2018, y propuestas de los derechos para reducir su comisión delictiva. Asimismo, el estudio en lo medular es de carácter no experimental, de nivel descriptivo, cuyos instrumentos son el análisis de contenido y las fuentes documentales.

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.

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)0.004
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.860
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0020.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.021
GPT teacher head0.382
Teacher spread0.361 · 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