Book reviews
Bibliographic record
Abstract
May T. Yeung, Nicholas Perdikis and William A. Kerr Regional Trading Blocs in the Global Economy: The EU and ASEAN, Cheltenham, UK, Edward Elgar, 1999, xi+163 pp. James Walsh European Monetary Integration and Domestic Politics: Britain, France, and Italy, Boulder and London, Lynne Rienner, 2000, ISBN 1 55587 823 7, 182 pp. Philippe de Schoutheete The Case for Europe. Unity, Diversity and Democracy in the European Union, London, Lynne Rienner publishers, 2000, 118 pp. ISBN 1–55587–898–9 (lic)/l‐55587–900–4 (pb). Dorothee Heisenberg The Mark of the Bundesbank. Germany's Role in European Monetary Cooperation, London and Boulder, Lynne Rienner Publishers, 1999, ISBN 1–55587–689–7, 214 pp. Jackie Gower and John Redmond Enlarging the European Union: The Way Forward, Aldershot UK/Brookfield US: Ashgate, 2000, ISBN 1–84014–488–2, 208 pp. Hanna Ojanen, Aldershot The Plurality of Truth: A Critique of Research on the State and European Integration, Ashgate, 1998, ISBN 1–84014–402–5, 377 pp. Desmond Dinan Ever Closer Union: An Introduction to European Integration, 2nd edition, 1999, Boulder, Lynne Rienner, ISBN 1–55587–739–7 (pbk). Robert H. Lieshout The Struggle for the Organization of Europe. The Foundations of the European Union, Cheltenham, Edward Elgar, 1999, ISBN 1–85898–975–2, 202 pp.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.515 | 0.492 |
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".