“Swirling a Million Feelings into One”: Working-Through Critical and Affective Responses to the Holocaust through Comics
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Drawing on perspectives from cultural studies, affect theory, and critical literacy, this article explores comics made by three eighth-grade students in response to Art Spiegelman’s Holocaust memoir Maus. Students’ comics were developed through participatory research alongside their classroom teacher, a research team, and teacher candidates from a local university. These three students, Stella, Maisie, and Naomi, reacted strongly to the content of Maus and the comics medium, and raised questions around identity, representation, and the legibility of their often-intense emotional responses. We trace their affective engagements to explore how comic-making allowed students to represent feelings that are often difficult to make visible in school spaces. Our analysis highlights how affective critical literacy orients teaching and research toward working-through rather than resolving complicated emotions, allowing educators to recognize unanswered questions as forms of critical engagement.
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.
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 | 0.007 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| 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 it