Animals that Live in the Mirror: On Colonial Bestiaries and Interspecies Architecture
Bibliographic record
Abstract
In 1934 Berthold Lubetkin unveiled a new development designed for a peculiar client and located in a curious place. Lubetkin’s “The Penguin Pool” was the second building that he had built in as many years for the London Zoo and it was meant to house the zoo’s newest acquisition of Antarctic penguins. The Penguin Pool was well received amongst architectural critics and the popular press alike and, as a relatively small concrete oval sunk into the ground with two elevated paths extending from the walls (Fig. 1), it represented a particular modernist ideal of visuality. At the same time though, what’s good for viewing subjects may not necessarily be good for the subjects themselves. And what’s good for people may not necessarily be good for penguins. The pool, designed for the eyes of the human spectator, resulted in a lengthy and list of problems for the penguins. Even that most modernist choice of materials – the decision to form the entire living area out of concrete – proved harmful as many of the penguins developed aching joints from having to walk on the hard surface. In taking this architectural episode as one that is emblematic of the broader role of the animal in modern architecture, this article explores the curious relationship between animal, human and environment. Specifically, it argues that the construction choices of Lubetkin’s pool make visible a common theme that extends across all of modern architecture: a willful ignorance of, or a concerted effort to control, biological life. Through an analysis of three related objects: the Penguin Pool, an archive of Le Corbusier’s sketches of animals, writings about his experiences in Algeria and hybridized creatures, and the artist Dan Graham’s installations, My Two-Way Mirror Pavilions, this work draws together these attempts to control biological life with colonial discourses on the animality of the colonial subject and on Neo-Darwinist ideas of natural hierarchy. By exploring these discourses as they are related to an imagined incommensurability and stratification of species, this article highlight the discursive constructs that work against shared, communal, and engaging multi species environments. And against these discursive forces, this work closes with a rereading of both interspecies communication and evolutionary agency by pushing against arguments of interspecies incommensurability and focusing on instead on a call to reconsider the environment as a totality of shared, interspecies, experiences.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.024 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".