Japan.com: Government and the Promise of the Internet Society
Bibliographic record
Abstract
As the Internet developed, emerging out of the uniquely scientific and strategic communications environments of university research laboratories and the military, it was not altogether clear that this new technology had a great deal of potential. Governments generally viewed the Internet as an adjunct of the scientific enterprise; very few people saw much general or public use. By the early 1990s, that had changed. The Internet spread beyond and through university campuses. Government departments discovered the potential for internal communications. And, most critically, the private sector came to the realization that this odd combination of computer and telecommunications technologies might well have commercial applications. Governments had the potential to speed up the development of the Internet, by investing in technological infrastructure, training and scientific development. They also all had regulations, procedures, licensing requirements and the like which had not anticipated the development of the Internet. By the late 1990s, it had become increasingly clear that the interface of government and technology would play a critical role in determining the role and impact of the Internet within specific societies. What would be determined on a country by country basis was the degree to which the government’s role would be constructive or constraining.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.038 | 0.017 |
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 source (direct Gemma or distilled Codex), 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".