Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
For more than two centuries federalism has provided an example of how people can live together even as they maintain their diversity. The Handbook of Federal Countries, 2005 continues the tradition started by the 2002 edition, updating and building on the work of Ronald Watts and Daniel Elazar in providing a comparative examination of countries with federal tendencies. Unique in its timely scope and depth, this volume begins with a foreword by Forum President Bob Rae that reflects on the importance of the federal idea in the contemporary world and provides an excellent introduction to federalism. New comparative chapters examine the recent draft constitutional treaty in Europe and the possibility of federalism being adopted in two countries with longstanding violent conflicts - Sri Lanka and Sudan. As a project of the Forum of Federations, an international network seeking to strengthen democratic governance through federal values, practices, and principles, the 2005 handbook is an essential sourcebook of information with maps and statistical tables in each chapter. The international authors examine a wide range of themes including the development of federalism in the country, the constitutional provisions relating to federalism, and the country's current political dynamics. The authors also include sources readers can consult for more information. Contributors include Dirk Anthony Ballendorf (University of Guam), Kaiser Bengali (Social Policy and Development Centre, Pakistan), Allan Brewer-Carias (Columbia University), David Cameron (University of Toronto),Valeriano Mendes Ferreira Costa (Sao Paulo - Brasil), Mihailo Crnobrnja (special advisor, Government of Serbia), Rohan Edrisinha (University of Colombo), Ann Griffiths (Dalhousie University), Siobhan Harty (Department of Social Development, Ottawa), Rudolf Hrbek (University of Tuebingen, Germany), Paul King (Management Systems International, Nigeria), Andre Lecours (Concordia University), George Mathew (Institute for Social Sciences, India), Gordon Means (emeritus, McMaster University), Yemile Mizrahi (Washington, DC), Viviana Patroni (York University), Tom Patz (Gesellschaft fur technische Zusammenarbeit), Cesare Pinelli (University of Macerata), Cheryl Saunders (University of Melbourne), Sanford Schram (Bryn Mawr College), Lee Seymour (Northwestern University), Julie Simmons (University of Guelph), Thomas Stauffer (University of Fribourg), Roland Sturm (University of Erlangen-Nurnberg), Janis van der Westhuizen (Stellenbosch University), Gary Wilson (University of Northern British Columbia), and Marie-Joelle Zahar (Universite de Montreal).
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.
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 | 0.004 |
| 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) | 0.001 | 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 it