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A importância do estudo das mitologias e gêneros literários da oralidade africana e afro-brasileira no contexto educacional brasileiro: a relevância da Lei 10639/03

2014· dissertation· pt· W1577892416 on OpenAlexaff
Ivan da Silva Poli

Bibliographic record

Venuenot available
Typedissertation
Languagept
FieldArts and Humanities
TopicLinguistics and Education Research
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsMythologyObject (grammar)Identity (music)HumanitiesResearch ObjectSociologyRelevance (law)Gender studiesArtPolitical sciencePhilosophyLiteratureAesthetics

Abstract

fetched live from OpenAlex

CAPÍTULOS DO REFERENCIAL TEÓRICO.-pág 9 CAPÍTULO I -De Bourdieu a Charlot , Refletindo sobre a Sociologia da Reprodução .-pág 9 CAPÌTULO II -Parecer ao Conselho Nacional de Educação sobre as Diretrizes Curriculares Nacionais para a Educação das Relações Étnico Raciais para o ensino de História e Cultura Afro Brasileira e Africanapág 30 CAPÍTULO III -De Winnicott a Biarnès , Fenômenos , Espaço Transicional e Espaço de Criação como Metodologias Pedagógicas -pág 50 CAPÍTULO IV -Efeitos da Inserção da Lei 10639/03 : a Educação Brasileira de acordo com os autores estudados .-pág73 CAPÍTULO V -Defesa do Estudo de Mitos Africanos no contexto Educacional Brasileiro .

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)0.015
metaresearch head score (Gemma)0.019
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: Empirical
Teacher disagreement score0.163
Threshold uncertainty score0.324

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.006
Science and technology studies0.0090.016
Scholarly communication0.0070.005
Open science0.0010.008
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.094
GPT teacher head0.384
Teacher spread0.291 · 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
Published2014
Admission routes1
Has abstractyes

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