Electricity market reform : an international perspective
Bibliographic record
Abstract
Foreword (S. Littlechild). Introduction (P.L. Joskow). Part 1. What's wrong with the status quo? 1. Why restructure electricity markets? (F.S. Sioshansi). 2. Sector-specific market power regulation vs. general competition law: Criteria for judging competitive vs. regulated markets (G. Knieps). Part 2. Trailblazers. 3. Chile: Where it all started (R. Raineri). 4. Electricity liberalization in Britain and the evolution of market design (D. Newbery). 5. The Nordic Market: Robust by design? (E. Amundsen, N.H. von der Fehr, L. Bergman). Part 3. Evolving markets. 6. The electricity industry in Australia: Problems along the way to a national electricity market (A. Moran). 7. Restructuring of the New Zealand electricity sector, 1984-2005 (G. Bertram). 8. Energy policy and investment in the German power market (G. Brunekreeft, D. Bauknecht). 9. Competition in the continental European electricity market: Despair of work in progress? (R. Haas, J.M. Glachant, N. Keseric, Y. Perez). Part 4. Nort America, New World, New Challenges. 10. California electricity restructuring, the crisis, and its aftermath (J.L. Sweeney). 11. Texas: The most robust competitive martket in North America (P. Adib, J. Zarinkau). 12. Electricity restructuring in Canada (M. Trebilcock). 13 The PJM Market (J. Bowring). 14. Independent system operators in the United States: History, lesseons learned, and prospects (R. O'Neill, U. Helman, B. Hobbs, R. Baldick). 15. Competitive retail power markets and default service (T. Tschamler). Part 5: Other markets. 16. The case of Brasil: Reform by trial and error? (J.L. R. Hermes de Arauja). 17. Understanding the Argentinian and Colombian electricity markets (I. Dyner, S. Arango, E.R. Larsen). 18. A new stage of electricity liberalization in Japan: Issues and expectations (M. Goto, M. Yajima).
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.006 | 0.008 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.030 | 0.004 |
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".