MétaCan
Menu
Back to cohort
Record W2610989111 · doi:10.7202/1090007ar

Comment repérer et définir le topos ?

2022· article· fr· W2610989111 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueTopiques études satoriennes · 2022
Typearticle
Languagefr
FieldArts and Humanities
TopicMedieval European Literature and History
Canadian institutionsnot available
Fundersnot available
KeywordsPhilosophy

Abstract

fetched live from OpenAlex

De quoi s’agit-il ? Du topos dans ses manifestations narratives, non du lieu vide de la tradition rhétorique. D’un repérage textuel, propre au corpus formé par les fictions narratives des origines à 1789, en langue française. Pourquoi, dira-t-on, écarter les topiques aristotéliciennes, les topos propres au théâtre ou à la poésie, à la littérature des XIXe et XXe siècles ou aux littératures étrangères ? Parce que cette mise à l’écart, provisoire d’ailleurs, permet seule, par la — très relative — modestie du corpus restant, d’approcher une définition qui puisse servir d’outil de précision dans un travail collectif de recherche sur la formation du roman. La définition et les procédures de repérage ici proposées ne se veulent donc qu’expérimentales. Ce n’est qu’en superposant les textes narratifs, en les lisant comme par transparence, que l’on peut voir se dessiner les topos propres au genre romanesque, puisse définir l’idée [idea] de topos spécifique. D’où cette proposition de définition, en cours d’expérimentation, du topos comme configuration narrative récurrente.

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.

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), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.835
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.000

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 head0.026
GPT teacher head0.236
Teacher spread0.211 · 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