Bibliographic record
Abstract
With the fist phase of IN now being deployed around the world, it is time to look toward the next phase. The first phase was developed with "Type A" services in mind to bound the scope of the work while retaining commercial viability. All other services were arbitrarily grouped as "Type B". The IN "Type A" services are defined by the ITU-T in Recommendation 4.1211 which includes a number of limitations selected to avoid implementation, operational and control complexity, while still enabling a commercially viable suite of capabilities. The ITU-T Study Group 11 has specified Capability Set 1 (CS-1) and CS-1R (CS-1 "Refined"). Capability Set 2 is being worked on, with solidification of the specifications, but the same restrictions remain in place. The "Type A" restrictions exclude the application of IN technology to the delivery of multimedia and multi-party services. These services must be addressed with the increasing relevance and importance of broadband and multi-party services. The implications of each of the "Type A" restrictions is examined in turn, showing options by which the restrictions can be removed, and the network evolved towards a full range of services network of the future. In removing the single medium constraint, it is necessary to address the relationship of "call" processing to "connection" processing. These concepts are defined and their relationship explored. The paper concludes with some suggestions on the priorities for evolving IN technology and its application to an increasing scope of successful services.
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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.008 | 0.012 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.029 | 0.019 |
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".