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A angústia na literatura: a experiência de Clarice Lispector

2005· article· fr· W1504821468 on OpenAlexaff
Ana Maria Clark Peres

Bibliographic record

VenueRevista do Centro de Estudos Portugueses · 2005
Typearticle
Languagefr
FieldPsychology
TopicPsychology and Mental Health
Canadian institutionsProfessional Engineers Ontario
Fundersnot available
KeywordsPhilosophyHumanities

Abstract

fetched live from OpenAlex

<p>A partir de um diálogo com a psicanálise lacaniana, e cotejando a experiência literária com a experiência analítica, este ensaio buscar refletir sobre a angústia na literatura, mais especificamente sobre a angústia no percurso literário de Clarice Lispector. Meu objetivo é mostrar como a autora é capaz de transformar a angústia, de servir-se dela, sem, contudo, eliminá-la.</p> <p>A partir d’un dialogue avec la psychanalyse lacanienne, et en mettant en rapport l’expérience littéraire et l’expérience analytique, cet essai cherche à réfléchir sur l’angoisse dans la littérature, plus spécifiquement sur l’angoisse dans le parcours littéraire de Clarice Lispector. Mon but est de montrer comment l’auteur est capable de transformer l’angoisse, de s’en servir, sans pourtant l’éliminer.</p><p> </p>

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), 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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.472
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.002

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 head0.023
GPT teacher head0.365
Teacher spread0.342 · 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
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
Published2005
Admission routes1
Has abstractyes

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