Feeling ‘Pretty Porky & Pissed Off’: a photo essay on fatness, affect, art, and archives
Bibliographic record
Abstract
This photo essay is about the process of creating a digital archive dedicated to Pretty Porky and Pissed Off, a Toronto-based fat activist and performance art collective active in the late 1990s and early 2000s. As a leading member of the collective and the project’s principal investigator (Allyson Mitchell) and the project’s researcher archivist (Allison Taylor) we explore the affective potential of the visual archival fat representations produced through Pretty Porky and Pissed Off’s artistic practice. We first provide an overview of the Pretty Porky and Pissed Off archive project. Second, we contextualize our photo essay within queer and fat studies scholarship on affect, archives, and the visual. Third, we present a set of stills from archival video footage of a Pretty Porky and Pissed Off clothing swap in Allyson Mitchell’s art studio. Using these stills, we consider the affectively rich nature of visual archival representations of fatness. We suggest that feelings are a central component of visual archival fat representations; feelings offer important insights about the potential of visual artistic and archival practices to represent, embody, and imagine fatness otherwise.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".