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Record W4406677033 · doi:10.15304/bgl.62.9818

A iconografia da Revolução dos Cravos: capas de obras de literatura para a infância e a juventude publicadas em datas comemorativas*

2024· article· pt· W4406677033 on OpenAlexfundno aff
Fernando Azevedo

Bibliographic record

VenueBoletín Galego de Literatura · 2024
Typearticle
Languagept
FieldArts and Humanities
TopicHistory of Education Research in Brazil
Canadian institutionsnot available
FundersFundação para a Ciência e a TecnologiaInternational Council for Canadian Studies
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Este trabalho investiga a representação visual da iconografia da Revolução dos Cravos em capas de obras de literatura para a infância e a juventude publicadas em datas comemorativas, explorando a sua evolução e impacto na perceção e valores associados à Revolução. A pesquisa responde a uma lacuna identificada na revisão de literatura: a reduzida existência de estudos consagrados em exclusivo à análise e interpretação visual de capas de literatura para a infância e a juventude. O objetivo geral deste estudo é conhecer e compreender os elementos iconográficos que remetem para a Revolução dos Cravos nas capas de obras de literatura para a infância e a juventude. A metodologia seguida é qualitativa, de natureza observacional, centrando-se na análise visual e interpretativa das capas das obras referidas. Os resultados do estudo evidenciam que à medida que a distância face ao acontecimento histórico aumenta, os símbolos da Revolução tendem a ser singelamente apresentados, permanecendo, todavia, determinados valores considerados fundacionais: a liberdade, a alegria, a democracia. A receção destes textos pelas gerações mais jovens acredita-se que as ajudará a aprender sobre o valor da liberdade, tanto em sentido literal quanto metafórico, e sobre como a organização visual pode transmitir mensagens poderosas.

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)0.010
metaresearch head score (Gemma)0.034
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.034
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0140.018
Science and technology studies0.0050.009
Scholarly communication0.0150.011
Open science0.0010.007
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0170.002

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 head0.052
GPT teacher head0.331
Teacher spread0.279 · 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 designQualitative
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
Published2024
Admission routes1
Has abstractyes

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