Broadband Access:Technologies,Drivers,and Issues
Bibliographic record
Abstract
Economic research shows that public infrastructure investment is a powerful driver of business productivity,investment,and economic growth.This paper discusses the drivers for broadband and analyses the various broadband access technologies and their respective market shares.Various policy and regulatory issues are also discussed.Broadband access,along with its extended value-added services and applications,has now become the most important growth driver for fixed operators.Digital Subscriber Line(DSL) is the leading access technology due to already available copper infrastructure and WiMAX is emerging new technology,especially in Asia/Pacific(APAC) region,due to its speedy and low cost infrastructure deployment characteristics. Countries with high penetration of broadband users such as South Korea,Japan and Canada have all implemented conscious policies for the growth of broadband in their countries.Governments in APAC region,especially the developing countries,will have to play the leading role for broadband due to its importance in economic and social growth.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".