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Record W7161978244 · doi:10.82308/37682

Un chapitre retrouvé des mémoires de l'abbé de Choisy l'écriture autobiographique : étude stylistique des trois manuscrits du «Temps qui m'a manqué» de Gabrielle Roy

2010· dissertation· fr· W7161978244 on OpenAlexaboutno aff
Marie Markovic

Bibliographic record

Venuenot available
Typedissertation
Languagefr
FieldSocial Sciences
TopicMilitary, Security, and Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAdventurePerspective (graphical)SubjectivityHappeningWriting style

Abstract

fetched live from OpenAlex

The creative writing portion of this thesis is a pastiche of the writings of 17th century memorialist and historian François Timoléon de Choisy. The cross-dressing adventures he lived as a young man were published as the Mémoires de l'abbé de Choisy habillé en femme and the pastiche presented here constitutes a "lost" chapter that recounts an episode referred to in the Mémoires. The critical aspect of this thesis concerns the three versions of Gabrielle Roy's last manuscript: Le temps qui m'a manqué. The Canadian novelist's last autobiographic text is analysed from both a stylistic and a genetic perspective and considers the variations from one manuscript to the next as well as those passages left unchanged. In both cases, the exploration of the authors' individual styles is an attempt to answer a question integral to our own writing practice: how does one create credible fiction from realities that are not always believable?

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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.937
Threshold uncertainty score0.125

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0080.012
Scholarly communication0.0080.003
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.018
GPT teacher head0.289
Teacher spread0.271 · 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 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
Published2010
Admission routes1
Has abstractyes

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