Bibliographic record
Abstract
The Leslie Street Spit is a long finger of artificial land stretching into Lake Ontario from To-ronto’s shore. It was originally conceived in the 1950s as a breakwater for the city’s northern harbor, but with changes in shipping methods quickly became obsolete in its original purpose. It remained, however, such a convenient place to discard of what is cleverly called “clean fill”—referring mostly to broken up pieces of demolished urban buildings—that it continues as an active dumping site today, expanding ever further into the lake. Owing to its open land and remote location, the spit was rapidly colonized by vegetation and wildlife, including several endangered species. Though this was never part of official plans, the spit became a hybrid-urban wilderness where, amidst the rubble of brick and bent rebar, nature thrived.These photographs document one of the oldest sections of the spit where the dumped rub-ble has settled and compacted into a soil like state. On the surface, where vegetation abounds, the ground reads as natural, not much different from any other conservation area. But, along the shoreline where the water pulls at the edge of the spit, the contents of the ground become visible—a rust colored metallic band, speckled with shards of glass, plastic and other debris. Essentially made from old iterations of the city, disposed of to make way for the new, this band offers an early glimpse of the urban world made geologic
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 | 0.006 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.253 | 0.075 |
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".