Modernism, Memory and Desire: Queer Cultural Production in Alison Bechdel’s <i>Fun Home</i>
Bibliographic record
Abstract
Using what Barbara Christian has called the technique of rememorying—the deliberate reconstruction of memory to void fixed categories—Alison Bechdel’s Fun Home: A Family Tragicomic expands the perimeters of graphic memoir and creates a sense of queer canonicity in the process. Fun Home’s structure is recursive rather than linear, returning again and again to the same sites of emotional pain: the author’s coming out, her father’s suicide, the pressures of compulsory heterosexuality, the always-impossible search for lost time. Like other graphic memoirs, such as Art Spiegelman’s Maus: A Survivor’s Tale and Marjane Satrapi’s Persepolis, Fun Home tackles subjects rooted in trauma and memory. Fun Home offers a lesbian feminist counterpoint to texts such as Maus, adding queer autobiography to the purview of the growing canon of women’s alternative comic art. Moving freely from Marcel Proust to Roald Dahl, mixing memory and desire, Bechdel interrogates some comfortable perceptions of the autobiographical materials that constitute high culture.
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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 | 0.002 |
| 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 | 0.037 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".