The impact of national ISDN on commercial and tactical communications
Bibliographic record
Abstract
The objectives of a national integrated services digital network (NISDN) are shared by both government and industry. Industry has adopted a set of specifications developed by Bellcore, known as NISDN-1 to allow ISDN services and features to operate transparently among switches of different models or manufacturers. ISDN provides multiple services such as voice, data, video, and graphics, on demand, on the existing telephone wiring we use today. With the recent launch of NISDN-1, the local exchange networks collectively have 22 NISDN-1 switches in the United States and Canada equipped with Common Channel Signaling System 7 (CCSS7) and 64 kb/s clear channel capability. Each switch is connected to at least one interexchange carrier network for voice and circuit switched data, and at least one interexchange carrier for packet data. Tactical users must have an information system that is flexible, mobile, secure and often rugged. It must provide timely, accurate information. NISDN is currently addressing these requirements in the commercial market place. As the industry direction of NISDN develops, it should be recognized that the public switched telephone network (PSTN) is evolving from a circuit switched fixed bandwidth toward a packet switched network with flexible bandwidth. As its various network components (including NISDN) transition to an end-to-end digital network, users and service providers will be increasingly able to access, develop, and offer new types of services and applications that will benefit both commercial and government communications.>
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 0.002 |
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".