The Oxford Handbook of Governance and Public Management for Social Policy
Bibliographic record
Abstract
Abstract This handbook surveys knowledge from all six of the planet’s continuously inhabited continents to understand how governments and related institutions have attempted to advance human development and improve social outcomes over the past several decades. The current state of knowledge about the social welfare sphere is robust, but explorers of its two conceptual hemispheres—social policy and social administration—have too often missed opportunities to share insights and trace connections across cultural, historical, geographic, and disciplinary boundaries. Each of the 64 chapters commissioned for the handbook seeks to rectify such omissions by applying an administrative lens to selected issues of social policy. Authors were carefully chosen by editors based in Africa, Asia, Australasia, Canada and the United States, Europe, and Latin America to capture key developments and challenges in their region’s social welfare spheres during the decades spanning the turn of the millennium. The result is an engaging description of the international state of knowledge at the intersection of social policy and public administration on the eve of the COVID-19 global pandemic. Adaptations forced by the pandemic and related crises may create momentum for social welfare system change, and even transformation, in some parts of the world. Future researchers will describe and measure such changes relative to benchmarks set in the pre-pandemic period, including the rich variety of practices, paradigms, and insights collected in The Oxford International Handbook of Governance and Management for Social Policy.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.030 | 0.009 |
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".