Therapeutic value of a patient-oriented media practice: lived-experience & patient-art as mental health pedagogy
Bibliographic record
Abstract
This paper analyzes Chris Ware’s Jimmy Corrigan – an American newspaper strip which became the first to win a UK-award for literary novels – to conceptualize what constitutes patient-oriented media practice. Methodologically, the semi-autobiographical nature of the graphic novel allows it to be viewed as simultaneously patient lived-experience and patient-created art. Ware first mobilizes visual media to reject toxic masculinity as excuse for fatherless sons, instead diving into parental abandonment and its profound ties with immigration, colonialism, slavery, militarism, and parent–child relations as neoliberal exchange. His visual media presents two rejected white heterosexual males, who consistently seek to empathize with and reclaim value of what society has deemed to be low-value: playful innocence; patients; unwanted children; and, artistic media practice itself. Through dedicating nearly four-hundred pages of visuals on patients who experience few successes in life – even failing at being a mental-health patient – Ware communicates the level of dignity and inner-strength needed to resist a self-centered approach of mental health self-care. The word patient is thus no longer subordinate to a medical system nor health professionals, but paradoxically emerges as superheroic through Ware’s unique media practice on what on surface appears to be the daily mundane.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.038 |
| Scholarly communication | 0.014 | 0.007 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".