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Record W2741494940 · doi:10.1017/9781316882153

Figures of the Pre-Freudian Unconscious from Flaubert to Proust

2017· book· en· W2741494940 on OpenAlexaff
Michael R. Finn

Bibliographic record

VenueCambridge University Press eBooks · 2017
Typebook
Languageen
FieldNeuroscience
TopicNeurology and Historical Studies
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsUnconscious mindPsycheFreudian slipPsychoanalysisPersonal unconsciousResistance (ecology)Presentation (obstetrics)LiteratureArtPsychologyMedicine

Abstract

fetched live from OpenAlex

An original, wide-ranging contribution to the study of French writing in the nineteenth and early twentieth centuries, this book examines the ways in which the unconscious was understood in literature in the years before Freud. Exploring the influence of medical and psychological discourse over the existence and/or potential nature of the unconscious, Michael Finn discusses the resistance of feminists opposing medical diagnoses of the female brain as the seat of the unconscious, the hypnotism craze of the 1880s and the fascination, in fiction, with dual personality and posthypnotic crimes. The heart of the study explores how the unconscious inserts itself into the writing practice of Flaubert, Maupassant and Proust. Through the presentation of scientific evidence and quarrels about the psyche Michael Finn is able to show the work of such writers in a completely new light.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.011
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.020
Scholarly communication0.0060.004
Open science0.0000.001
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 head0.029
GPT teacher head0.214
Teacher spread0.185 · 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 designTheoretical or conceptual
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

Citations14
Published2017
Admission routes1
Has abstractyes

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Same venueCambridge University Press eBooksSame topicNeurology and Historical StudiesFrench-language works237,207