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REPRESENTACIONES SOCIALES DE LOS ESTUDIANTES CON RELACIÓN A LA VIOLENCIA ENTRE PARES

2016· article· es· W2573239412 on OpenAlexaboutno aff
Luz Fanny Morales Tovar, Diana Marcela Silva Castro

Bibliographic record

VenueAletheia Revista de Desarrollo Humano Educativo y Social Contemporáneo · 2016
Typearticle
Languagees
FieldSocial Sciences
TopicSocial Skills and Education
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPsychologyArtSociologyPolitical science

Abstract

fetched live from OpenAlex

This investigation is developed in the Provincia de Quebec educative public institution, located in the Usme fifth locality, in Bogot, Colombia. The purpose is to know and analyze fifth-grade student's social representations about peer-to-peer violence, recognizing their own voices and perspectives about this problem. This research is qualitative in nature, following a hermeneutic approach. It was developed in seven focus groups, where some cases of physical, verbal or relational violence occur. Researches go in depth in the participants' social representations. Three categories were defined for the purpose of data analysis: context conditions that allow for the construction of social representations, cognitive structuring of the social representations about peer-to-peer violence, and the attitudinal dimension of social representations about peer-to-peer violence. Hence, it can be concluded that children's social representation about peer-to-peer violence is influenced by their cognitive process and experiences into the school, familiar and social contexts, generating representations that legitimize practices based on authoritarian,

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)0.004
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.572
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0040.003
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.037
GPT teacher head0.360
Teacher spread0.324 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2016
Admission routes1
Has abstractyes

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