Bibliographic record
Abstract
In the 86 years since The Natural History of the Toronto Region, the precursor to the present book, was published, the city and indeed the world have changed almost beyond recognition.What remains recognizable are the 'special places,' the ecosystems of Toronto and the earth.As a scientist, and as an astronaut who has seen the planet from the unique viewpoint of the space shuttle Discovery, I know both how glorious and how fragile those ecosystems are.The wonders of the everyday world we citizens of Toronto enjoy, often without realizing the complexity of our natural environment, are celebrated in Special Places.But this book is more than a guide; it is a series of thoughtful and carefully researched essays by Dr. Betty I. Roots and her co-editors, Drs.Donald A. Chant and Conrad E. Heidenreich, and many contributors.They offer us a fascinating spectrum -from the vast perspectives of palaeontology, to the portraits of First Peoples, to close-ups of mosses and lichens.Together, these scholars and educators have produced a wonderful present for the Royal Canadian Institute, Canada's oldest active scientific society, 150 years old in 1999-Torontonians and all the readers of Special Places owe the Royal Canadian Institute a debt of gratitude for showing us all how the city has changed and what we must do to care for the special place on the planet that Toronto inhabits.The past has been recalled; the present is described lovingly; and the future is ours to create.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.660 | 0.633 |
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".