The digital era and public sector reforms: Transformation or new tools for competing values?
Bibliographic record
Abstract
Abstract This article considers the tools and management approaches associated with the “digital‐era” public sector reform, which many observers suggest has supplanted or should supplant previous reforms such as those associated with the New Public Management. This article levers and adapts the Competing Values Framework to categorize various public service reform movements—Traditional Public Administration, New Public Management, Public Value Management, and New Public Governance—and associated value systems and cultures. It argues that not only do these prior reform movements persist as values and repertoires in public service systems, but they are also each variously receiving oxygen from “digital” as the latest wave of technological innovation affecting societies, markets, and governments. It calls for more systematic empirical work to gauge how digital tools have been affecting the mix and balance of values and repertoires associated with these reform movements in different parts of public service systems in Canada and beyond.
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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 | 0.013 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.007 | 0.093 |
| Scholarly communication | 0.025 | 0.019 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".