MétaCan
Menu
Back to cohort
Record W2492697529 · doi:10.1017/ccol0521839661.009

Margaret Atwood’s humor

2006· book-chapter· de· W2492697529 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

VenueCambridge University Press eBooks · 2006
Typebook-chapter
Languagede
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsComicsMindsetPoetryLiteratureArtHumor researchHistoryPhilosophyPsychologyEpistemologySocial psychology

Abstract

fetched live from OpenAlex

One of the greatest storytellers of modern times, Mark Twain, remarked that “there are several kinds of stories, but only one difficult kind - the humorous.” He differentiated the humorous story, which he claimed to be truly American, from the comic story and the witty story, which he classified as respectively English and French. Like Twain, and like certain Canadian writers who preceded or followed him, Margaret Atwood anchors her playful writing in the motifs and mindset of North America. While her novels, stories, and short fictions can be poetic, biting, or even grim, they are almost invariably suffused with the humor that Twain identified as being indissociable with the manner of the telling, as opposed to the comic and the witty story which rely on the matter (Twain, How to Tell a Story, p. 7). Also investigating the mechanisms of humorous writing, Atwood herself has classified it into three commonly acknowledged genres: parody, satire, and “humor” (although her writing thoroughly blurs these artificial boundaries). In the characteristic way of postcolonial writers promoting their distinctive national culture, she has set out to identify British and American humor and distinguish Canadian humor from the two metropolitan forms. Yet the discrete dimension of Canadian humor in her analysis rests not on techniques of production, but on notions of reception, or the complex relations between what she terms the “laugher,” the “audience,” and the “laughee” (SW, p. 175).

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.595
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.017
GPT teacher head0.185
Teacher spread0.168 · 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