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Record W2581359482 · doi:10.14393/ufu.di.2016.208

Novas histórias sobre a velha tradição : Angela Carter e Barbara G. Walker releem Branca de neve

2016· dissertation· pt· W2581359482 on OpenAlexaff
Lívia Maria de Oliveira

Bibliographic record

Venuenot available
Typedissertation
Languagept
FieldArts and Humanities
TopicCultural, Media, and Literary Studies
Canadian institutionsMaple Leaf Foods
Fundersnot available
KeywordsArtHumanities

Abstract

fetched live from OpenAlex

Fairy tales date from centuries back. Despite appearing to bring simple stories to readers and listeners, they are reflections of a time and certain locations and, contrary to the genre timelessness, they transmit and perpetuate meanings as social constructions, that in this contemporary context have been questioned. Even today we continue to narrate fairy tales and, among their manifestations, we are interested in re-reading the classics of children‟s literature from contemporary writers confronting meanings crystallized by tradition, considering unusual prospects until then. These writers claim to rethink sexist and dominant attitudes, demonstrating the marginalization of women‟s role in the magical narratives and pointing changes to the behavior of men and women and their social and hierarchical relationships. The purpose of this dissertation is to evaluate the manner and extent of the break/subversion of crystallized meanings by the traditional narrative of Snow White , in the revisionist perspectives achieved by Angela Carter, in The Snow Child (1979), and Barbara G. Walker, in Snow Night (1996). The study considers, among other things, the concept of revision and the course of revisionism, as defined by Adrienne Rich (1985); intertextuality and revisionist strategies such as parody (HUTCHEON, 1989), feminist metafiction (GREENE, 1991), narrative displacement and delegitimization of the known story (DUPLESSIS, 1985) and the fictional revisionism levels presented by Maria Cristina Martins (2005) in her research on contemporary retellings of fairy tales. In relation to the transgression/subversive level, we consider the concept of carnivalization outlined by Mikhail Bakhtin (1981; 1987). We hope to show that the fairy tales, even though they are magical framing of the world that permeate the centuries, do not need to be as they are and their meanings do not need to be unique, unchangeable or crystallized.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.593
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0150.001

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 head0.024
GPT teacher head0.238
Teacher spread0.214 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2016
Admission routes1
Has abstractyes

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