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Record W4302066860 · doi:10.7202/1090991ar

Présentation : no. 1 « Cygne noir »

2022· article· fr· W4302066860 on OpenAlex
Emmanuelle Caccamo, Simon Lévesque

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCygne noir · 2022
Typearticle
Languagefr
FieldPsychology
TopicPsychoanalysis and Psychopathology Research
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsArt

Abstract

fetched live from OpenAlex

Selon les recherches de Nassim Taleb sur les limites de la connaissance et le poids de l’imprévisibilité dans nos schémas épistémiques, un « Cygne Noir » est une figure métaphorique renvoyant à un événement imprévisible qui surgit et vient ébranler nos cadres normatifs. C’est une aberration qui fait rupture dans la cohérence de nos modèles encyclopédiques et qui force la reconsidération à la fois de nos connaissances établies et des modes d’acquisition et de validation de ces connaissances, voire de paradigmes entiers – soudainement reconnus comme erronés. La nécessité de rendre cohérente cette donnée aberrante produit des explications qui retracent des effets de prévisibilité rétrospectifs. Symétriquement, un événement hautement prévisible qui ne survient pas peut également être appelé un Cygne Noir. Le Cygne Noir symbolise et traduit ainsi la stupeur d’une conscience prenant acte des limites de l’induction et de la probabilité.

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)0.002
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: Other · Consensus signal: Other
Teacher disagreement score0.119
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.1090.020

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 head0.037
GPT teacher head0.391
Teacher spread0.354 · 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