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Record W3047448058

A literatura dos povos indígenas canadenses e a construção do conhecimento através da lenda e da tradição oral

2020· article· pt· W3047448058 on OpenAlexaboutno aff
Eduardo de Souza Saraiva

Bibliographic record

VenueRevista Garrafa · 2020
Typearticle
Languagept
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

A tradicao oral pode ser considerada como a base da transmissao do conhecimento de uma geracao para a outra dentro das comunidades indigenas. Foi atraves das narrativas orais que os povos nativos mantiveram seus lacos coesos e suas estorias em constante movimento. O objetivo da oratoria indigena era transmitir as lendas, os mitos e as cancoes das comunidades, fazendo com que os aspectos culturais e identitarios dos grupos fossem compartilhados e preservados ao longo do tempo. Contudo, as narrativas orais nao eram moldadas para serem lidas, mas antes compartilhadas por meio de performances de contacao de estorias. Ou seja, a literatura das sociedades amerindias era uma literatura de carater oral, idealizada e difundida pelos mecanismos da tradicao oral. Assim sendo, o objetivo deste artigo e o de analisar duas lendas literarias: “The recluse” (“O solitario”) e “The lost salmon-run” (“A ultima pesca do salmao”) ambas presentes na obra Legends of Vancouver (1911), de Emily Pauline Johnson, levando em consideracao o modo como a autora por meio do texto literario em um formato escrito resgatou o genero folclorico lenda e a tradicao oral para construir lendas literarias que espelham a performance oral.

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)0.003
metaresearch head score (Gemma)0.009
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 score0.930
Threshold uncertainty score0.138

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.008
Science and technology studies0.0160.029
Scholarly communication0.0180.010
Open science0.0020.009
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0150.002

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 head0.057
GPT teacher head0.282
Teacher spread0.226 · 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
Published2020
Admission routes1
Has abstractyes

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Same venueRevista GarrafaSame topicCanadian Identity and HistoryFrench-language works237,207