Love and hatred: Changing relations between the city governments of Budapest and the national governments
Bibliographic record
Abstract
Professor Enyedi obtained his M.A. in Economics (1953) and his Ph. D in Economic Geography (1958) at the Budapest University of Economics. He worked for the Institute of Geography, Hungarian Academy of Sciences (1960-1983 , head of department, deputy director); in 1983, he founded the Centre for Regional Studies, Hungarian Academy of Sciences (general director, 1983-1991; chairman of the scientific council, 1991-to date). He was elected member of the Hungarian Academy of Sciences (1982) and of Academia Europaea (London). Professor Enyedi has participated in a number of international research projects organized by UNESCO, ICSU, International Geographical Union, European Science Foundation, etc. He was the chairman of the IGU Commission on Rural Development (1972-1984), and the Vice President of the IGU (1984-1992). He is an honorary member of the British Royal, Finnish, French, Croatian, Hungarian and Polish Geographical Societies. Professor Enyedi has authored 24, and edited 15 scientific books, and over 300 scientific papers. He is a member of the World Society for Ekistics.
 Dr Keresztély is Head of the Department at the Centre for Regional Studies, Hungarian Academy of Sciences, Budapest. Her studies include an MA in Hungarian and International History, University Eötvös Lórùnd Tudomány Egyetem, Budapest; Diplome d'Études Approfondies in Urban Geography, University of Nanterre, Paris-X; and PhD in Urban Geography, École Normale Supérieure, Paris. Her main activities focus on research in urban geography, urban policies, and urban culture; presentation of papers at major international conferences in Seoul, Korea; Berlin, Germany; Montreal, Canada; and Vienna, Austria, and a substantial number of publications. Dr Keresztely is a member of the World Society for Ekistics.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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".