Bibliographic record
Abstract
Theoretical and Institutional Influence on Administrative Reform Globalization, Europeanization, and Administrative Reform, N. Eklund and M.E. Wimelius The Political State of Administrative Reform at the United Nations: A Microcosm of Reforms Occurring Globally, D.M. Schlagheck The Missing Link in Administrative Reform: Considering Culture, J. Killian Administrative Reform in European Union Founding and Early Member Nations Administrative Reform in Germany: Changes and Challenges, J. Franzke Ireland: Modernization as Opposed to Radical Reform, B. Connaughton Administrative Reform in Sweden: Administrative Dualism at the Crossroad, N. Eklund Administrative Reform in European Union New Member and Applicant Nations Civil Service Reform in Poland: The Influence of Path Dependency, T. Majcherkiewicz Unfinished Modernization: Public Administration Reform in Postcommunist Romania, S. Ionita The Politics of Administrative Decentralization in Turkey Since 1980, G. B. Ozcan and H. Turunc Administrative Reform in North America and Latin America Administrative Reform in the United States: Toward Government-Nonprofit Partnerships in Governance, A.M. Eikenberry and M.C. Pautz Reconsidering the History of Administrative Reforms in Canada, L. Juillet and M.S . Mingus Civil Service Reform: Challenges and Future Prospects for Mexican Democracy, D. Arellano-Gault Concluding Thoughts An International Perspective on Administrative Reform, J. Killian Index
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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.048 | 0.019 |
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".