The local alternative : decentralization and economic development
Bibliographic record
Abstract
Introduction PART I: DECENTRALIZATION AND LOCAL ECONOMIC DEVELOPMENT Exploring Conditions for Local Economic Development In Decentralized Systems of Government T.Campbell The Experience in Latin America Rafael de la PART II: LOCAL MANAGEMENT The Transformation of a Community to a Major Urban Center: The Mississauga Experience H.McCallion Washington, D.C.: Restoring the United States Capital A.Williams Catalonia: Overcoming Budgetary Limits with Public-Private Partnership and Performance Based Budgeting S.Maluquer I Amoros & A.Tarrach I Colls Revitalizing Urban Centers M.Silva & R.Chavez PART III: MACROECONOMIC IMPACT Decentralization and Macroeconomic Control E.Stein Lessons from the Argentinean Case of the 90's R.Lavagna Fiscal Decentralization and Macroeconomic Performance A.Shah PART IV: SUBNATIONAL FINANCING The Political Economy of Decentralization and Good Governance in Latin America E.Ahmad & M.Garcia-Escribano Financing and Public Services in Belo Horizonte J.Ribeiro Pires & A.Pio Junior Reforming Mexico's Fiscal Federalism J.Antonio Gonzalez Anaya Subnational Entity Credit Risk Ratings V.Manuel Herrera, D.Brandazza & F.Ortiz Structural Funds for Regional Development in the European Union R.Cobo Mayoral PART V: COMEPTITIVENESS AND GLOBALIZATION Doing Business: How to Improve Local Competitiveness F.Almeida Decentralization, Competitiveness and Globalization: Opportunities and Challenges E.Wiesner PART VI: LOCAL COMMUNITY PARTICIPATION Decentralization in Colombia and the Transformation of Bogota J.Castro The Private Sector as a Promoter of Citizen Control in Colombia M.Fernanda Campo Decentralization and Governance: from Authoritarianism to National Dialogue in Bolivia R.Maclean Abaroa
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.042 | 0.002 |
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".