Sarah Leavitt’s <i>Tangles</i>: Teaching Queer Caregiving Memoir on Disability, and Pedagogy as Resistance
Bibliographic record
Abstract
This article examines Sarah Leavitt’s graphic novel <i>Tangles: A story about Alzheimer’s, my mother and me</i> (2010, 2011 UK), in relation to queer identity, feminist wilfulness (Ahmed, 2014), and critical disability studies. <i>Tangles</i> takes up themes of lesbianism, disability, and activism, and it does so through storytelling. Studies around life writing and disability, including the dementia disease Alzheimer’s, point the reader strongly toward recognition of the key importance of storytelling in the preservation of selfhood. Whose stories are told, and whose are not, and by whom? How can or does patient selfhood emerge or survive in caregiving narratives written and/or drawn by others? This article examines graphic memoir in the contexts of Comics Studies, Canadian Gender Studies and Critical Disability Studies.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.014 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 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".