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Record W2102679731 · doi:10.3167/eca.2012.050102

European Comic Art and Quebec

2012· article· en· W2102679731 on OpenAlexaboutno aff
Bill Marshall

Bibliographic record

VenueEuropean Comic Art · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Identity and Heritage
Canadian institutionsnot available
Fundersnot available
KeywordsFrenchWitnessMetropolitan areaHistoryAdjectiveScholarshipComicsAestheticsIdentity (music)SociologyMedia studiesPolitical scienceHumanitiesArtLiteratureLinguisticsLaw

Abstract

fetched live from OpenAlex

The welcome attention paid to Quebec in this issue of European Comic Art immediately points to a cluster of intellectual questions concerning identity, territory and academic discipline(s). What need was there for grouping a corpus, and analysis of it, according to this category, and what meanings are implied in that selection? And what problems are evoked by the adjective ‘European’? These are familiar questions to all those Quebec specialists working in French (‘and Francophone’) Studies, as well as, in my case, Film Studies. On the one hand, Quebec culture in all its forms of expression possesses a relevance and richness, due to historical and spatial factors I shall outline below, but is largely off the radar of the disciplines and sub-disciplines it could enrich. This is no more true than in French Studies, where it is difficult, but also necessary, topical (witness the continuing debate, five years after the manifesto, around littérature-monde) and urgent, to challenge the hierarchy implied in the centre and periphery generated by ‘(and) Francophone’. The challenge is to place Quebec in an endlessly comparative relationship with other French-speaking cultures, with other Atlantic spaces, in order to break down the barriers implied in an often ghettoised ‘specialisation’. Here bande dessinée scholarship has an interesting advantage, in that, despite the phenomenal cultural weight of the art form within metropolitan French life, a decidedly non-metropolitan space, namely Belgium, offers a central position. The opportunity is there to emphasise lateral connections that bypass as well as include metropolitan France, hence the work here on Tintin in Quebec. To an extent, bande-dessinée-monde, to coin a phrase, is already a reality.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.245
Threshold uncertainty score0.997

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.027

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 head0.042
GPT teacher head0.211
Teacher spread0.169 · 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; both teacher heads agree on what is shown here.

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
Published2012
Admission routes1
Has abstractyes

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