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Record W2376135309 · doi:10.1215/00104124-3137243

Crowdsourcing Penelope: Margaret Atwood, the Coen Brothers, Richard Linklater

2015· article· en· W2376135309 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueComparative Literature · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsnot available
Fundersnot available
KeywordsNovellaPerformative utteranceWifeVariety (cybernetics)EPICArtPerformance artOrchestrationArt historyPersecutionLiteratureHistoryPhilosophyTheologyLawAestheticsComputer science

Abstract

fetched live from OpenAlex

Beginning with Margaret Atwood's novella The Penelopiad and its staging in regional and experimental theaters in Canada, the U.K., and around the world, this essay traces a long history of network mediation for the Odyssey, beginning with the performative decisions made by itinerant rhapsodes, who variously selected, arranged, and circulated the Homeric epics in ancient Greece, and extending well into the twenty-first century, in the self-conscious invocations of the Odyssey by filmmakers such as the Coen Brothers and Richard Linklater. Crowdsourcing, the unruly and never-ending input from masses of people, is the morphological ground of the epic, an art form energized by its downward percolations. Penelope, that infinitely patient and longsuffering wife, becomes a variety of things as a result, much changed since Homer's times. In the hands of Atwood, she shares the stage with her twelve maids.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.794
Threshold uncertainty score0.735

Codex and Gemma teacher scores by category

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

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 head0.071
GPT teacher head0.337
Teacher spread0.266 · 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