Bibliographic record
Abstract
York University is a public university in Toronto, Ontario, Canada. It is currently comprised of two major campuses - Glendon and Keele. The Keele Campus was established in 1965 in North York near Jane, Finch, and Steeles Avenue West thoroughfares. This campus was previously a farm owned by the Stong family until 1951 and still includes a historic home and barn built around 1850. Keele is the largest post-secondary campus in Canada at 457.14 acres. The tree census data provided here were extracted from a census completed by one of the first grounds managers in the Physical Resources Unit and published as an ArcGis map (http://yorku.maps.arcgis.com/apps/webappviewer/index.html?id=88027977994641ad88b10ed0d85fb2f0). These data were researched by M. Belanger, extracted by J. Braun, and described with quality checks by C.J. Lortie and J. Braun. Physical Resources were contacted and provided permission to share publicly. The data are comprised of a total of 6951 observations dating from 1900 (when planting dates pre-dated campus management) to 2013. The majority of observations were done in 2012 and 2013. These censuses included common names, Latin binomials, latitude and longitude of each tree in degree decimals, and condition with morphometrics for each individual. Categorical location data included block on campus (associated with campus map), street, and building code (as referenced to campus key). Most importantly, each tree was provided a unique identifier linked to a metal tree tag affixed to its trunk. Several key measures for future ecological assessments included dbh, crown width, and height.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.111 | 0.025 |
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".