E-Government as a New Frontier for Legal Theory
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
E-government has the potential to change fundamentally the organization of governments, and the governance practices used in relations with citizens and other governments. Legal theory is clearly affected by these changes. Yet there is no rush to publish on e-government in leading legal theory journals, and there is no visible surge in student demand for courses in e-government. Just as only some areas of governments in developed states have taken advantage of new information communication technologies, so only some areas of legal theory have engaged e-government. Issues in Internet governance and personal privacy dominate legal theory’s engagement with e-government, while e-engagement of citizens plays an increasingly important yet still limited role in governments’ interaction with citizens. Yet there are signs that this gentle pace may soon change, as leading jurisdictions approach completion of the first wave of service transformation at the same time as concerns regarding a digital divide recede under the growth of access to new information communication technologies. New opportunities for e-government may soon make e-government’s progress revolutionary rather than evolutionary, and legal theory will be forced to keep pace. Request access from your librarian to read this chapter's full text.
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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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