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Record W7113017421

Discursos d'odi a l'aula: Context i eines pedagògiques

2024· article· ca· W7113017421 on OpenAlex

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueRepository of Digital Objects for Teaching Research and Culture (University of Valencia) · 2024
Typearticle
Languageca
FieldSocial Sciences
TopicInclusive Education and Diversity
Canadian institutionsnot available
FundersUniversidade Estadual de Santa CruzUniversidade do MinhoUniversity of Victoria
KeywordsContext (archaeology)IndignationCoronavirus disease 2019 (COVID-19)Social life
DOInot available

Abstract

fetched live from OpenAlex

L'educació pot esdevenir una eina de doni suport als canvis de la societat i permetin a les persones donar resposta als desafiaments als que han de fer front. Cada moment social té els seus reptes i actualment l'ascens de discursos d'odi repercuteix de forma diària als nostres centres educatius. De forma explícita o implícita, a diari veiem com els discursos de l'alumnat es nodreixen de rumors, estigmatitzacions o intolerància cap a certs col·lectius, moltes vegades vulnerables. Sense voler ser una esmena a la totalitat de les pràctiques educatives tradicionals en favor de la tolerància, aquest article vol actualitzar conceptualment certs aspectes d'aquestes, mirant d'adaptar-les al context actual, tot donant eines als docents per tal de poder afinar les respostes a discursos cada vegada més simples però més captivadors per part del nostre alumnat.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.064
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.050
GPT teacher head0.359
Teacher spread0.310 · 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