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Record W83624298

1000 Graphic Novels for the Bibliothèque Nationale du Québec

2005· article· fr· W83624298 on OpenAlexaboutno aff
Olivier Charbonneau

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2005
Typearticle
Languagefr
FieldArts and Humanities
TopicComics and Graphic Narratives
Canadian institutionsnot available
Fundersnot available
KeywordsComicsComic stripSubject (documents)NarrativeLibrary scienceHistoryVisual artsComputer scienceArtLiterature
DOInot available

Abstract

fetched live from OpenAlex

Developing collections of graphic novels and other works of narrative and sequential art has been making waves for the past few years, but libraries in France and Quebec have been
\ncollecting “bande dessinée” for decades. As opposed to comic books, the Franco-Belgian format of choice is the “album”. These hard-covered books of about 50 pages are more than suitable for our institutions. Some collections in Quebec even top the 10,000 document mark!
\n
\nWhen the Bibliothèque Nationale du Québec merged with the City of Montréal’s central library, it was quite natural to develop the english-language Graphic Novel collection.
\nUnfortunately, collections development in this area is still a burgeoning field. That is why Olivier Charbonneau, Subject Librarian and Researcher at Concordia University, was brought in to propose 1000 English language Graphic Novels for the collection.
\n
\nDifferent techniques were employed to select the documents. This lecture presents the methodology used to prepare the list and, more generally, insight about selecting English language Graphic Novels or book length comic books on an ongoing basis. Furthermore, the five areas of the collection will be discussed, namely: classic superhero, contemporary superhero, comic strips, underground and manga publications.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.922
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0050.003
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.035
GPT teacher head0.255
Teacher spread0.221 · 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
Published2005
Admission routes1
Has abstractyes

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Same venueSpectrum Research Repository (Concordia University)Same topicComics and Graphic NarrativesFrench-language works237,207