Separating out the levels: Globalization, identity, and the Ekistic Grid in sociological perspective
Bibliographic record
Abstract
The author is S.D. Clark Professor of Sociology, Emeritus, at the University of Toronto. His special areas are Urban Sociology and Social Ecology, with a focus on built environments. His most recent book is Time Use: Expanding Explanation in the Social Sciences (Boulder, CO,Paradigm Publishers, 2005). Previous books include: Man and his Urban Environment: A Sociological Approach (1970 and 1976), Environmental Choice, Human Behavior, and Residential Satisfaction (1977), From Sun to Sun: Daily Obligations and Community Structure in the Lives of Employed Women and their Families (1985), Methods in Environmental and Behavioral Research (1987), and the Handbook of Environmental Sociology (2002). He is a member of the World Society for Ekistics, as well as the Royal Society of Canada. The text that follows is a slightly revised and edited version of a paper presented at the international symposion on "Globalization and Local Identity," organized jointly by the World Society for Ekistics and the University of Shiga Prefecture in Hikone, Japan, 19-24 September, 2005.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.035 |
| Scholarly communication | 0.010 | 0.011 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".