Bibliographic record
Abstract
Dr Yilmaz teaches in the Department of Interior Architecture and Environmental Design of the University of Hacettepe, Ankara, Turkey,from which she has a Masters degree. She also has a Ph. D from the Department of Urban and Environmental Sciences, University of Ankara. She has presented papers on environmental problems and vernacular architecture at numerous national and international congresses, and published others in various scholarly journals. Professor Keleş taught at Ankara University, Faculty of Political Science for many years and served as Dean of the Faculty from 1971 to1975. He was also Head of both the Ernst Reuter Center for Urban Studies and the Center for Environmental Studies at the same university. He currently teaches at the Eastern Mediterranean University, North Cyprus. Dr Keleş has published extensively on Comparative Urbanization, Theories of Local Government, Environmental Policies, and Urban Politics. His major publications include The Politics of Urbanization: Government and Growth in Modern Turkey (with Michael N. Danielson, New York, Holmes and Meier, 1985)-, The Urban Poverty in the Third World, Institute of Developing Economies, Tokyo, 1988; and Housing in the Middle East (with Hiromaso Kano), Institute of Developing Economies, Tokyo, 1986. Dr Keles is a member of the World Society for Ekistics. The text that follows is an edited version of a paper presented at the international symposion on 'The Natural City, " Toronto, 23-25 June, 2004, sponsored by the University of Toronto's Division of the Environtmental Studies, and the World Society for Ekistics.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".