Bibliographic record
Abstract
The preternatural, as explored by these artists, disturb the ontological boundaries of art, nature and metaphysics. They exist within the folds of classificatory thresholds: both beyond and between nature and supernature; human and animal; vegetable and mineral; living and dead. The confusion between animate and inanimate is a primary concern, a surreality which unites with the preternatural’s love for reveling in the mysterious: bizarre fragments, unreadable words, objects of absurd scale, and distortions of the relativity of time and space flourish throughout this exhibition. Preternatural is the catalogue for a multi-site art exhibition (9 December 2011 through 17 February 2012, in Ottawa, Canada) that draws from the idea that art itself is a form of preternatural pursuit, in which the artists participating explore the bewildering condition of being in between the mundane and the marvelous in nature. It questions a world that understands itself as accessible, reachable, and ‘knowable’ and counters it with a consideration of this heterogenous proposition.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.029 | 0.117 |
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; both teacher heads agree on what is shown here.
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".