Evidence map›Paper›PMID 42780168›Full record

ArticleFrontiers in sociology2026

Analysis of the minutes of rondas campesinas using text mining techniques.

Lenin Quiñones Huatangari, Raúl Díaz Cabrera, Nicanor Alvarado Carrasco, Frank Fernández Rosillo, Jorge Luis Maicelo Guevara, Omer Cruz Caro, Segundo Salazar Serván

Abstract read
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Article in Frontiers in sociology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Lenin Quiñones HuatangariUniversidad Nacional Toribio Rodríguez de Mendoza de Amazonas, Facultad de Ingeniería Zootecnista y Biotecnología, Escuela Profesional de Ingeniería de Ciencia de Datos e Inteligencia Artificial, Chachapoyas, Peru.
Raúl Díaz CabreraInstituto de Educación Superior Privado "CERTUS", Carrera de Diseño y Desarrollo de Software, Lima, Peru.
Nicanor Alvarado CarrascoUniversidad Nacional de Jaén, Instituto de Investigación en Ciencias Sociales, Jaén, Cajamarca, Peru.
Frank Fernández RosilloUniversidad Nacional de Jaén, Instituto de Investigación en Ciencia de Datos, Jaén, Cajamarca, Peru.
Jorge Luis Maicelo GuevaraPontificia Universidad Católica del Perú, Escuela Profesional de Economía, Lima, Peru.
Omer Cruz CaroUniversidad Nacional Toribio Rodríguez de Mendoza de Amazonas, Oficina de Gestión de la Calidad, Chachapoyas, Peru.
Segundo Salazar ServánUniversidad Nacional Toribio Rodríguez de Mendoza de Amazonas, Dirección de Admisión y Asuntos Académicos, Chachapoyas, Peru.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rondas campesinas are rural community justice organizations that emerged among impoverished indigenous communities in the Andes and are the driving force behind the largest and most influential grassroots movement in north-eastern Peru. The aim of the research was to unveil the characteristics, thematic approaches and working dynamics of the rondas campesinas using text mining as a technique for information analysis. Seventy-four minutes from Huaquillas, Namballe and San Jose de Lourdes in the province of San Ignacio, department of Cajamarca were analyzed, covering the period from 2012 to 2024. The analysis included five steps: data collection and pre-processing by eliminating stopwords and tokenization, keyword identification using the word cloud technique, word quantification using the Term Frequency-Inverse Document Frequency method, latent topic analysis through Latent Dirichlet assignment and vector representation through modeling with Word2Vec. These steps allowed the identification of community problems, social control actions and emerging trends in community organization. The text mining technique is a tool to analyze minutes not only of rondas campesinas but also of organizations or institutions that want to know with certainty the thematic approaches they develop.

Indexed as

artificial intelligencegovernanceintercultural approachlegal pluralismtopical analysis

Identifiers

PMID42780168
PMCPMC13597447

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.