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
National governments are setting up digital service teams (DST) – IT units outside the centralized CIO's office – to respond to complex governmental and societal challenges in a responsive and agile manner. DSTs emerge as a third space between centralized and decentralized IT departments that are triggered by large-scale IT failures and the need to abandon black swan IT projects - tasks that traditional CIO offices were not able to handle so far. DSTs design principles have been replicated from the initial idea of the UK's Government Digital Service team and implemented in other countries, such as the U.S., Canada, Italy, or Finland. For this article, a qualitative interpretative approach was chosen to understand external and internal context factors that contribute to the emergence of these digital service teams. The article brings initial clarity of the composition and tasks of DSTs and extends the existing theory of context by providing insights about this third space between centralized and decentralized IT departments to organize IT Governance in public sector organizations.
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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.007 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.003 |
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