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Record W2266216141

Of Mud and Men: Spectres of Pasolini in Canadian Theatre

2015· article· en· W2266216141 on OpenAlexaboutno aff
Sylvain Lavoie, Lucille Toth

Bibliographic record

VenueDialnet (Universidad de la Rioja) · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSkyTRACE (psycholinguistics)ArtArt historyHumanitiesLinguisticsPhilosophyGeographyMeteorology
DOInot available

Abstract

fetched live from OpenAlex

While we find no trace of Pasolini’s plays being staged in Canada, his spectre haunts the work of two Canadian artists: Sky Gilbert and Gaétan Nadeau whose plays mostly depict the Italian figure as a piece of mud for a few men to play with.Di fango e uomini: spettri di Pasolini nel teatro canadeseNon vi è traccia di messa in scena dei testi di Pasolini in Canada, però il suo spettro perseguita il lavoro di due artisti canadesi: Sky Gilbert e Gaétan Nadeau, nei cui spettacoli l’autore italiano è generalmente rappresentato come un pezzo di fango con il quale giocano gli uomini.

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)0.004
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: none
Teacher disagreement score0.067
Threshold uncertainty score0.486

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0430.032
Scholarly communication0.0120.003
Open science0.0010.007
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0090.000

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 head0.015
GPT teacher head0.220
Teacher spread0.205 · 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
Published2015
Admission routes1
Has abstractyes

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