Bibliographic record
Abstract
This overview of the history of Canadian comics explores not only the few Canadian cartoonists who have received study, but many who have not. Contributors look at the myriad ways that English-language, Francophone, indigenous, and queer Canadian comics and cartoonists pose alternatives to American comics, to dominant perceptions, even to gender and racial categories. Specific works covered range from the earliest Canadian comic books to the work of contemporary creators. In contrast to the United States’ melting pot, Canada has been understood to comprise a social, cultural, and ethnic mosaic, with distinct cultural variation as part of its identity. This volume reveals differences that often reflect in highly regional and localized comics such as Paul MacKinnon’s Cape Breton-specific <italic>Old Trout Funnies,</italic> Michel Rabagliati’s Montreal-based <italic>Paul</italic> comics, and Kurt Martell and Christopher Merkley’s Thunder Bay-specific zombie apocalypse. The collection also considers some of the conventionally “alternative” cartoonists, such as Seth, Dave Sim, and Chester Brown. It offers alternate views of the diverse and engaging work of two very different Canadian cartoonists who bring their own alternatives into play: Jeff Lemire in his bridging of Canadian/US and mainstream / alternative sensibilities and Nina Bunjevac in her own blending of realism and fantasy as well as of insider / outsider status. Despite an upsurge in research on Canadian comics, there is still remarkably little written about most major and all minor Canadian cartoonists.This volume provides insight into some of the lesser-known Canadian alternatives still awaiting full exploration.
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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".