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Record W2903748417 · doi:10.3828/qs.2018.20

Forbidden Desire: Shades of Racinian Fatality in Marie Laberge’s <i>Juillet</i>

2018· article· de· W2903748417 on OpenAlexaboutno aff
Nancy M. Arenberg

Bibliographic record

VenueQuebec Studies · 2018
Typearticle
Languagede
FieldSocial Sciences
TopicHistorical and Literary Studies
Canadian institutionsnot available
Fundersnot available
KeywordsArtNarrativeStyle (visual arts)DramaCharacter (mathematics)HumanitiesBartokBourgeoisieLiteratureArt historyMusicalLawPolitics

Abstract

fetched live from OpenAlex

Marie Laberge is widely recognized as a celebrated dramatist but has also written numerous novels that have been well received by readers and critics. Her first novel, Juillet (1989), highlights her theatrical style of writing, as the narrative focuses on the dramatic events that transpire between four members of a bourgeois Québécois family. It is during the oppressive heat of the summer that the family gathers to celebrate the matriarch Charlotte’s birthday. As the plot unfolds, there is little action but the psychological tension between the characters drives the narrative, enabling the reader to study their interior motivations. The strain between the four characters constitutes the locus of the “drama,” revealing an interesting connection to some familiar Racinian themes such as jealously, violence, hatred, and impotence. This article will consider the fatality of forbidden desire that draws the daughter-in-law, Catherine, to her charismatic father-in-law, Simon. To broaden the tragic perspective on Racine, it interpolates the ideas of Mitchell Greenberg and Roland Barthes on seventeenth-century literature to examine the portrayal of immoral desire and fatality, which points to a fascinating link between Racine and Laberge.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.843
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.060
GPT teacher head0.336
Teacher spread0.276 · 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 teacher head, not a consensus.

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
Published2018
Admission routes1
Has abstractyes

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