Public governance tensions: a managerial artefacts-based view
Bibliographic record
Abstract
The aim of this article is to categorise the factors of tension in public organisational settings. The context of the administrative reforms undertaken in Tunisia has been chosen as an empirical illustration of the public governance tensions associated with managerial artefacts. The study focuses on three types of factors. An analysis of these factors confirms the theories on the appropriation of management tools and helps raise the existing level of knowledge in relation to the processes to mitigate public governance tensions within public organisations. Points for practitioners Today, the modernisation of public governance goes hand in hand with the introduction of new public management tools in administrative settings. On a practical level, the appropriation of these tools generates a tense relationship between political decision-makers and public managers. Often perceived from the perspective of paradoxical demands and antagonistic relationships that disrupt the daily life of state organisations, public governance tensions can be managed as long as they are identified and categorised in the light of the factors of tension associated with the reforms undertaken.
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How this classification was reachedexpand
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 teacher head, 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".