Bibliographic record
Abstract
The Old World Campus Network's rationale is based on the "locality principle", i.e., most network traffic is local and never leaves the edge of the network. Given this rationale, Closet, Building, and Campus Switches must provide layer 2 and 3 switching, management support, and QoS support. These requirements increase overall costs due to the complexity of operation and management of Closet and Building Switches. Today's client-server model of communication dominates in the campus environment, where most enterprise servers are located at the Data Center: this new model of communication justifies the New World Campus Network's (NWCN) rationale to eliminate needless levels of switching and to keep complex switches at the Data Center. This paper describes the NWCN proposal. In the NWCN, simple electronic 10 Gigabit Ethernet Multiplexors replace Closet Switches, optional DWDM multiplexors replace Building Switches, and a large Data Center Switch Complex performs all switching for the campus network. The NWCN provides a true multimedia network with simple and efficient central QoS handling, central management, and centralized multicast. Results of simulated experiments support the effectiveness of the NWCN proposal.
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 | 0.001 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.071 | 0.031 |
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".