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Record W4246207686 · doi:10.5380/rcc.v6i2.41690

CINEMA, QUADRINHOS E A SALA DE AULA: A REVOLUÇÃO IRANIANA GANHA IMAGEM E MOVIMENTO

2015· article· pt· W4246207686 on OpenAlexaff
Bruno Ercole, Isabela Brasil, Mariana Rupprecht Zablonsky

Bibliographic record

VenueRevista Cadernos de Clio · 2015
Typearticle
Languagept
FieldSocial Sciences
TopicEducation and Digital Technologies
Canadian institutionsAdidas (Canada)
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

O presente artigo é resultado das atividades do projeto PIBID UFPR: História e(m) Imagens, realizadas ao longo de 2014, e aborda questões relativas à utilização do cinema e das histórias em quadrinhos na sala de aula das séries finais do Ensino Básico. Partindo da discussão teórica acerca da validade destas mídias como fontes historiográficas e didáticas disponíveis ao professor, pretende-se apresentar exemplos práticos de como essa abordagem pode ser realizada. Para isso, utiliza-se do caso da oficina realizada sobre “Persépolis”, em que os alunos Bolsistas do PIBID exploraram o tema da Revolução Iraniana em atividades aplicadas em duas escolas estaduais de Curitiba, utilizando-se do quadrinho “Persépolis” e da animação homônima, para abordar um assunto que não desfruta, via de regra, de grande destaque nos espaços escolares.

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)0.001
metaresearch head score (Gemma)0.002
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: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.005
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0160.001

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 head0.116
GPT teacher head0.388
Teacher spread0.272 · 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
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
Published2015
Admission routes1
Has abstractyes

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