Common Issues and Uncommon Solutions to Cataloguing Comic Books in Libraries
Bibliographic record
Abstract
Comic books have gained popularity in recent years and as such libraries (academic or public) have been making efforts to maintain comic book collection to serve the patron needs. Since comic books are different than traditional resources in nature, cataloguing them have been a pain for most librarians. This paper aims to highlight the common issues faced by libraries in cataloguing comics because of a lack standardized metadata schema and explores a variety of solutions/projects proposed in effort to organize and maintain the collection in brief with the care it deserves. Problèmes communs et solutions singulières pour le catalogage des bandes dessinées dans les bibliothèques RésuméLes bandes dessinées ont gagné en popularité au cours des dernières années et les bibliothèques (académiques ou publiques) ont donc fait des efforts afin de maintenir une collection de bandes dessinées pour répondre aux besoins des usagers. Puisque les bandes dessinées sont d'une nature différente que les ressources traditionnelles, les cataloguer a été une tâche difficile pour la plupart des bibliothécaires. Cet article vise à souligner les problèmes communs rencontrés par les bibliothèques pendant le catalogage des bandes dessinées en raison d'un manque de standardisation des schémas de métadonnées et explore une variété de solutions et projets proposés dans le but d'organiser et de maintenir la collection avec l'attention qu'elle mérite. Mots-clésCatalogage des bandes dessinées; Métadonnées; GNCRT; Catalogage; Bibliothèques; Problèmes de catalogage
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".