Evolving a fibre-to-the-node access infrastructure
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
Competition between the Cablecos and Telcos in Canada to win the broadband home is intense. Cablecos are already delivering voice services. Erosion of the Telco voice market is being evidenced. For Bell Canada, delivery of a broadcast video service is a critical component in winning the broadband home. Bell Canada is already an entrenched national satellite video service provider. Nevertheless, a wireline video delivery solution is essential to complement satellite and increase market share in major urban areas. Bell Canada is deploying a fibre-to-the-node infrastructure in existing residential areas for delivery of IP-based broadcast video content. Fibre-to-the-Node fully leverages the copper distribution plant enabling broad coverage and rapid revenue generation. Emerging VDSL2 technology delivers throughputs of 25 Mbps to the end customer over this infrastructure. However, delivery of the full set of competitive services including multiple high definition video streams and on demand content stresses this architecture. An evolution strategy is required. This paper compares the evolution alternatives including fibre-to-the-premises. Emphasis is on planning considerations enabling a cost-effective evolution to a fibre-to-the-premises architecture.
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 | 0.000 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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