Bibliographic record
Abstract
There exists an overlap between the work of Queer Aesthetics and Queer Ecology, specifically across the realm of naturalization. Long has nature been the realm of the Queer. However, in the Anthropocene, the natural ceases to exist as it once did apart from the artifice of human kind. Or, in the words of Donatella Versace, when asked if she would ever return to her natural hair colour, “Natural? What is natural?” If we exist in an epoch where the natural ceases to exist, where is the is the future of queer space? Between the work of Queer Ecology and Queer Aesthetics lies a common interest in negative space. In landscape architecture, the most ubiquitous and yet unseen negative space of all is the atmosphere. And, in atmospheric design, sensile experience joins bodies across spaces. Towards sensory entanglement, this graduate project proposes two bathing spaces in Squamish and on Mount Meager, pairing pleasure with an experience of a thickened edge between the water and air. This proposal seeks to design for the humidity in the atmosphere as a means to cultivate care for the unseen.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.030 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.027 | 0.003 |
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".