Pastures: An Exploration of an Aging Queer Woman
Bibliographic record
Abstract
This paper accompanies the culmination my installation entitled, “Pastures.” “Pastures” was featured at The 519 community centre in Toronto, Canada in May 2023. It showcased pastoral cyanotype patches on denim and leather jackets, inspired by queer DIY punk motifs, nature, and the aging queer woman body. In this paper, I expand on themes of aging as a queer woman, including issues of invisibility and irrelevancy, transitory environments, and the nature of space, memory, and mourning. I also detail the artistic journey and reasoning that led to the final iteration of the “Pastures” installation, and its possibilities for the future. \nOne of the many questions “Pastures” asks is how environments resonate with, and respond to, the personal. “Pastures” is inspired by my own journey as a queer woman and my search for a sense of belonging, vibrancy, and worth. In conversation with a theoretical framework that includes, visual arts practice, queer ecology and environments, and queer aging, “Pastures” central question posits: In a world that pushes queer woman bodies to the periphery, or pasture, where does my body belong?
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.029 | 0.017 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.014 | 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".