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Record W2972712695

Comics in The Cambridge History of Canadian Literature: is sequential art the future of the Canadian literary canon?

2017· preprint· en· W2972712695 on OpenAlexaboutno aff
Jean‐Paul Gabilliet

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2017
Typepreprint
Languageen
FieldArts and Humanities
TopicComics and Graphic Narratives
Canadian institutionsnot available
Fundersnot available
KeywordsComicsCanonElitismContext (archaeology)PhenomenonLiteratureHistoryHistory of literatureCultural historyCommissionPopular cultureArtMedia studiesSociologyPolitical scienceLawEconomic historyPoliticsPhilosophyEpistemology
DOInot available

Abstract

fetched live from OpenAlex

This paper, both a testimony and reflection about the author’s experience as contributor of the “comic art and bande dessinée” chapter of the Cambridge History of Canadian Literature (Cambridge UP, 2009) discusses the challenge of summarizing the essentials of Canadian comics history since the mid-19th century in 6,000 words and proceeds to answer the following question: why does Canada’s literary canon integrate comics whereas its French and American counterparts, for instance, have so far failed to do so? This phenomenon appears closely linked to one aspect of Canada’s postcolonial specificity—the country’s intellectual elites’ comprehensive outlook on cultural production. This “limited elitism” approach actually became a hallmark of Canadian cultural policy as of the 1950s following the Massey Commission’s introduction of the “Canadian content” concept and the subsequent development of an open-ended conception of national culture. Canada’s cultural context provides a very interesting example of the ongoing legitimization of comics in the 21st century but also, more broadly, of the dynamics that permanently rewrite a national literary canon.

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)0.002
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 score0.899
Threshold uncertainty score0.582

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.001
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 head0.021
GPT teacher head0.204
Teacher spread0.183 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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