Beyond Singularity and Fragmentation: A Dynamic and Integrative Model for Explaining Public Sector Innovation
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 Public sector innovation (PSI) is crucial for improving the quality and effectiveness of public services. Existing studies related to PSI influencing factors are fragmented and mostly focused on a certain stage, such as the adoption or implementation stage. However, PSI is a dynamic process influenced by different types of factors at different stages. As such, this paper constructs a framework integrating the MSF and TOE frameworks to explain PSI, and then tests it through an in‐depth case study of City J in China. The findings reveal that the antecedents of PSI evolve as innovation progresses. We further discuss the connections or interactions among these antecedents. The managerial implication of this study is to shed light on the dynamic and systematic nature of PSI, guiding practitioners in strategically allocating resources across different innovation stages.
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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 | 0.000 |
| 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 | 0.001 | 0.001 |
| 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