Bibliographic record
Abstract
For a long time I have considered any opportunity to collaborate with Dr Ingrid Leman Stefanovic a privilege. This time the opportunity was offered by the international Symposion on 'The Natural City" sponsored by the University of Toronto and the World Society for Ekistics which took place on the campus of the university and was organizedand chaired by her on behalf of both sponsors. I wish to thank her for having accepted to act as guest editor for this volume of Ekistics in spite of her very heavy commitments due to her role as Professor of Philosophy and Director of the Centre for Environment, University of Toronto. I also wish to express my admiration for her inspired and inspiring introductory statement on the concept of the natural city (see pp. 168 and 169). In this Symposion, an international and interdisciplinary group of approx. 100 experts and a fairly large number of other participants and students held a very intensive three-day program - 4 plenary and 28 special sessions, with several papers and discussions in each (see p. 162) - determined to challenge the erroneous but still prevailing perception of "human settlements" and "nature" as independent of each other; and to stress the need for the general adoption of the integration of these two notions - which is inherent in the approach of both convenors of the Symposion.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".