MANAGEMENT PLAN Urban Forestry Services
Bibliographic record
Abstract
(HPCAC) in 1995. This group of interested citizens volunteer their time to help make High Park a better place for all. The purpose of the group is to provide the City of Toronto Parks and Recreation Division with an on-going source of public input and assistance in all matters concerning High Park. The Natural Environment Subcommittee (NESc) provides input and direction to the City regarding ecologically sound park management and operational practices. The NESc has developed a strong Volunteer Stewardship Program that supports restoration efforts. Through this program, many volunteers take part in weeding, planting and seed collection. Through this and other HPCAC programs, concerned citizens have made a significant contribution to restoring the health of High Park’s natural environment. Cover photos: (clockwise from left to right) Prescribed burning in High Park in spring of 2001; Cylindric Blazing Star; Black Oak leaves; volunteer assisting with native plant restoration in spring of 2000; Lupines in flower following a prescribed burn in High Park in spring of 2000.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.258 | 0.042 |
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".