Bibliographic record
Abstract
The Art of Governance: Analyzing Management and Administration, Patricia W. Ingraham and Laurence E. Lynn, Jr., eds., Washington, DC: Georgetown University Press, 2004, pp. 238. What is “governance”? Despite a huge literature, a major journal, and numerous teaching programmes and courses ostensibly dealing with the subject, it is a concept that still inspires much confusion. Many students of political science, among others, see the term as being simply a synonym of “governing,” used to describe what governments actually “do,” or as just a new name for the traditional subject matter of established fields such as public administration and public management, offering little in the way of value-added to those more traditional terms and academic fields. Others, of course, argue that “governance” represents a fundamental new way of “governing,” specifically a much less top-down and hierarchical form than is traditionally associated with studies of public administration, and hence a subject worthy of additional attention and the coinage of neologisms.
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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.010 |
| Science and technology studies | 0.003 | 0.031 |
| Scholarly communication | 0.014 | 0.019 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".