Queer Appetites: Embodied Desire in Monica Meneghetti’s What the Mouth Wants
Bibliographic record
Abstract
Drawing upon José Esteban Mufioz’s notion of queer futurity, this article examines the links between memory, food, and sexuality in Monica Meneghetti’s What the Mouth Wants: A Memoir of Food, Love and Belonging. The memoir depicts how embodiment and affect are imprinted in memory and recirculated through narratives of familial loss and queer awakenings. It is through physical and emotional nourishment in every sense of the word that the protagonist remembers a past that is both troubling and seductive, and looks toward a future that is both queer and utopic. I suggest that the author’s queer identity as a bisexual and polyamorous woman is expressed through the sensations of the flesh and through the affects that shape the world around her, and shaped by one eye toward an untenable queer past and one toward a queer utopic future.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.017 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".