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“Con- vive y sé feliz” Educación para la convivencia y prevención del conflicto en el contexto escolar

2023· article· es· W4400652244 on OpenAlexaff
Claudia Esperanza Carvajal Monroy, María de los Ángeles Moreno Padilla, Porfiria Mercedes, Ana María Botache Carvajal, Elimary Jerez Eduvigis, Cristina Rodríguez Mota

Bibliographic record

VenueMemoria ... congreso IDEICE .... · 2023
Typearticle
Languagees
FieldSocial Sciences
TopicEducation for Peace and Conflict Resolution
Canadian institutionsInstitute for Clinical Evaluative Sciences
Fundersnot available
KeywordsHumanitiesPsychologyArt

Abstract

fetched live from OpenAlex

Esta investigación tiene como propósito implementar un proyecto educativo creado por docentes de República Dominicana, Colombia y México que contribuya en la construcción de una sana convivencia y la prevención del conflicto en el contexto escolar a partir de diversas experiencias de promoción, prevención y acción ante las situaciones de violencia y discriminación presentadas en la cotidianidad escolar. Mediante la aplicación de estrategias enmarcadas en el respeto, el diálogo, la concertación y participación de los distintos estamentos de la comunidad educativa. Se pretende fortalecer las relaciones interpersonales, mediante la armonización de espacios y por ende actividades académicas en un ambiente propicio para el aprendizaje. El presente proyecto de innovación se desarrollará desde un enfoque cualitativo, mediante un estudio de carácter descriptivo con el propósito de comprender tanto a los estudiantes como a la institución en tanto actor que aborda la convivencia, el estar y compartir con los otros.

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)0.004
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.048
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.010
Scholarly communication0.0060.004
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.043
GPT teacher head0.403
Teacher spread0.359 · 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 designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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