Digital Public Intrapreneurship and Digital Public Entrepreneurship
Bibliographic record
Abstract
This chapter provides an examination of the landscape of entrepreneurship within public administration, focusing on the integration and implications of digital technologies. It begins with the historical evolution of public sector entrepreneurship, identifying milestones and shifts towards more inclusive and innovative practices. The chapter transitions to the emergent field of digital entrepreneurship and intrapreneurship, underscoring the transformative potential of digital technologies in public organizations. The chapter presents concepts, theoretical frameworks, and definitions for understanding the dynamics of digital entrepreneurship within the public sector. Emphasis is placed on the roles of digital public entrepreneurs and intrapreneurs, whose efforts are pivotal in navigating challenges and seizing the opportunities from the digital era. The chapter concludes by presenting the strategic importance of fostering a culture of innovation and adaptability within public institutions, aiming to enhance service delivery and public value creation in an increasingly digital world.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.005 | 0.014 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".