Bibliographic record
Abstract
"In the Fall of 2018, the Small Walker Press invited poet Adam Dickinson and artist Lorène Bourgeois to walk through a former landfill (1976-2001), the Glenridge Quarry Naturalization Site. Located on the Niagara Escarpment, overlooking the City of St. Catharines, Ontario, it functions today as a public recreation area. \n \nIts landscape still resembles a raw, industrialized version of nature, eerie and ominous in its windswept hills. The ground is punctuated by prickly vegetation providing beautiful flowers in the summer months, and rocks, from pebbles and gravel to larger boulders. A constructed landscape, it is perceived as rationally managed nature. Indeed, there is something decidedly unnatural about this carefully designed space where layers of clay and soil have been deposited and vegetation native to the area planted with the aim of naturalizing the landfill. Along the paths, visitors will also notice the small mechanical vents of a gas collection system from which escape acrid odours produced by decomposing waste under the harmonious scenery. As a result of their walk together, Adam Dickinson contributes a poem about childhood reminiscences and the dreamy yet familiar realm where they belong, while Lorène Bourgeois revisits some of her earlier drawings and presents them anew in a sequence whose rhythm is inspired by photographs she made of the Glenridge Quarry." -- Distributor's website
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 | 0.001 | 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 | 0.008 | 0.001 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.354 | 0.120 |
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".