Leadership and innovation in the public sector
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
This article considers the nature and role of leadership in three ideal types of public management innovation: politically‐led responses to crises, organizational turnarounds engineered by newly‐appointed agency heads, and bottom‐up innovations initiated by front‐line public servants and middle managers. Quantitative results from public sector innovation awards indicate that bottom‐up innovation occurs much more frequently than conventional wisdom would indicate. Effective political leadership in a crisis requires decision making that employs a wide search for information, broad consultation, and skeptical examination of a wide range of options. Successful leadership of a turnaround requires an agency head to regain political confidence, reach out to stakeholders and clients, and to convince dispirited staff that change is possible and that their efforts to do better will be supported. Political leaders and agency heads can create a supportive climate for bottom‐up innovation by consulting staff, instituting formal awards and informal recognition for innovators, promoting innovators, protecting innovators from control‐oriented central agencies, and publicly championing bottom‐up innovations that have proven successful and have popular appeal.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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