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Record W6950687300 · doi:10.53154/oltreoceano1

LA REECRITURE DU MYTHE DANSLA LITTERATURE MIGRANTE AU QUEBEC:"ANTIGONE" D’ANTONIO D’ALFONSO

2021· article· en· W6950687300 on OpenAlexaboutno aff

Bibliographic record

VenueInstitutional Research Information System (University of Udine) · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicLiterary and Philosophical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMythologyNarrativeRewritingWork (physics)Identity (music)

Abstract

fetched live from OpenAlex

The Rewriting of Myths in Québec migrant writing: "Antigone" by Antonio D’Alfonso Antonio D’Alfonso undertakes the project of rewriting "Antigone" throughout his work as a writer, poet, director and photographer of Italian origin, by using different media and languages. Antigone becomes a character-matrix at the origin of a narrative that absorbs the Greek text to amplify the themes of D’Alfonso’s creative production.

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)0.003
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.150
Threshold uncertainty score0.301

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0170.009
Scholarly communication0.0050.001
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.049
GPT teacher head0.299
Teacher spread0.250 · 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
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
Published2021
Admission routes1
Has abstractyes

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