Economic Perspectives on Public Organizations
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract This article aims to relate some of the core ideas of NPM (new public management) directly to their economic foundations by reviewing relevant theory and empirical evidence. This overview is limited in two ways. First, it focuses on the more strategic end of the NPM agenda and says little about important tactical issues, such as improving accounting procedures within agencies, more visionary leadership, or the potential of performance auditing. As far as present knowledge encompasses, economics offers little specific advice to public managers about these issues. The article focuses, therefore, on issues such as contracting-out and privatization that are believed to be informed by economics. Second, the focus is primarily normative, though managers' motivations cannot, and should not, be completely ignored. Some positive theory proponents believe that a primarily normative focus is largely a waste of time—that contracting-out decisions, for example, will be driven by bureaucratic self-interest, however complex that self-interest is to model.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it