Thrown to the (Were)Wolves: Sisterhood, Vengeance, and Liberal Feminism in Maggie Tokuda-Hall and Lisa Sterle’s Squad
Bibliographic record
Abstract
In Maggie Tokuda-Hall and Lisa Sterle’s graphic novel Squad, protagonist Becca and her new friends at Piedmont High are not human adolescents but a pack of werewolves who must kill to stay alive and select teenage boys—“the WORST ones” (70)—as their meal of choice. The power of the pack’s “monstrous” bodies is a dangerous privilege and responsibility that Squad suggests is often misused to victimize innocents. The book critiques individualistic Western/liberal feminism—an ideology also critiqued by contemporary feminist writers—that encourages women and girls to gain power for themselves and then use it to perpetuate hierarchies of domination. Through an analysis of the figure of the werewolf and fantasies of revenge, this article suggests that both Squad’s narrative and its comic images guide readers toward an understanding of how liberal feminist ideology impedes collective empowerment. This article ultimately argues that Squad can be wielded as a potential feminist consciousness-raising tool for teaching about the ethics of different feminist ideologies.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.010 | 0.034 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".