Bibliographic record
Abstract
This series of photographs is an attempt to explore the impossible spaces of the contemporary zoological garden from a queer ecological perspective. I intentionally focus on the artificiality and finitude of the zoo landscape rather than on nonhuman animal bodies that are already overrepresented in the zoological reimagination of natural habitats. The zoo with its taxidermic taxonomy captures nonhuman animals within the species boundaries, turning them into things on display. Wary of the limits of representation I focus on what usually remains in the background, or functions as an obstacle for “wildlife photography,” on the very edges of the voyeuristic imagemaking practice so present in the zoo nowadays. In this sense I see the zoo as a paradigmatic example of a Foucauldian heterotopia—a real place that stands outside of its space, and creates an illusion of a world in miniature captured in a timeless void.1 There is no fire in a two-dimensional forest; there is no key to the door in the painted jungle. The photographs were taken in various zoological gardens around the world (Hungary, Poland, Singapore, Malaysia, Canada) as part of a large project, “Queer(ing) Naturecultures: The Study of Zoo Animals.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.137 | 0.029 |
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".