Bibliographic record
Abstract
Dr Stefanovic is Director of the Centre for Environment and Professorof Philosophy at the University of Toronto. She is also a member of the World Society for Ekistics and served as Chair of the Natural City symposion, a meeting co-organized by the University of Toronto and the World Society for Ekistics in June 2004, and was guest-editor for the special volume of Ekistics (vol. 71, no. 424-432, 2004) reporting on this symposion. A book of essays is in preparation for the University of Toronto Press, entitled The Natural City: Re-Envisioning the Built Environment. Dr Stefanovic's main area of research interest relates to how values and perceptions affect decision making relating to environment and human settlements. Projects have included work on evaluative images of the Lake Ontario Waterfront Trail (reported in Ekistics,vol. 69, no. 415/416/417, July-December 2002) and, more recently, a research grant investigated risk perceptions underlying urban development in designated floodplains. She has published many articles on interdisciplinary issues affecting human settlements and a number of books, including the recent Safeguarding Our Common Future:Rethinking Sustainable Development (SUNY, 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 | 0.010 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.018 | 0.091 |
| Scholarly communication | 0.019 | 0.013 |
| Open science | 0.001 | 0.018 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".