Drawn from Memory: Comics Artists and Intergenerational Auto/biography
Bibliographic record
Abstract
This article examines the dynamics of father–son relationships and the problems of intergenerational collaboration in Art Spiegelman's Maus I and II, Seth and John Gallant's Bannock, Beans, and Black Tea: Memories of a Prince Edward Island Childhood during the Depression, and Chris Ware's Jimmy Corrigan: The Smartest Kid on Earth. All three authors are critically acclaimed cartoonists and graphic novelists who use the mixed medium of verbal–visual narratives to tell stories about biological and symbolic fathers. These works reject dominant notions of masculinity and fatherhood through various forms of collaborative auto/biography and intergenerational semi-auto/biography that gravitate towards an aesthetics of smallness. The article concludes that, even as these three projects stage a reconciliation between fathers and sons, past and present, public and private, they nevertheless question the politics and practices of representing self and other in popular graphic form.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.007 | 0.019 |
| Scholarly communication | 0.013 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".