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Record W2053827459 · doi:10.1353/utq.2007.0291

The Voice under the Lamp: An Interview with Michael Redhill

2007· article· en· W2053827459 on OpenAlexvenueno aff
Marlene Goldman, Kristina Kyser, Michael Redhill

Bibliographic record

VenueUniversity of Toronto Quarterly · 2007
Typearticle
Languageen
FieldArts and Humanities
TopicContemporary Literature and Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsObjectivity (philosophy)DilemmaDramaAestheticsPostmodernismSociologyCharacter (mathematics)LawMedia studiesPsychologyLiteraturePhilosophyEpistemologyArtPolitical science

Abstract

fetched live from OpenAlex

MR: The decision to put myself in the play was not so much a postmodern gesture as a blatant act of authority, which the audience was free to accept or reject, either, at their peril. By positing, as theatrically as possible, that the author was telling a true story, the play asks the audience to go along with it or to retreat to an ironic position. The former – accepting what you’re being told – has one moral conundrum attached to it, which the play explores: who has the right or ability to tell a story. The latter presents the audience with the dilemma of failing to feel enough ... That may be comfortable initially, but only in the first act. The second act makes that a costly choice, because the pain in the play after the intermission brings anyone who has been standing apart from the drama to question their own objectivity. So the positioning of the main character as a supposedly real person makes it very difficult for the audience to view the play from a comfortable place. Had the narrator been just a writer (and not the author telling you that what you’re seeing is true), the audience would have imposed a moral objective on the play (ah, they would have said, we know who this ‘writer’ is, and he’s going to teach us a lesson). By having this fairly unlikeable first-person narrator in front of them (unlikeable in that he’s not trying to prove he’s some kind of moral model) the audience is stripped of their ability to see the narration as having a moral imperative.

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 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: Empirical · Consensus signal: none
Teacher disagreement score0.748
Threshold uncertainty score1.000

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 studies0.0010.000
Scholarly communication0.0000.001
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 head0.016
GPT teacher head0.201
Teacher spread0.185 · 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 teacher head, 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

Citations3
Published2007
Admission routes1
Has abstractyes

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