Bibliographic record
Abstract
This paper draws upon Malcom Gladwell's notion of 'The Tipping Point' in the context of the development of new broadband services. The new Rudd Labor government has committed $4.7 billion of Australian government capital to assist in the construction of a new national fibre broadband network. Broadband platforms have enabled a different service paradigm from all of their predecessors, and three categories of broadband services are discussed here---called managed, unmanaged, and publicly supported services. Examples of related service innovations are drawn upon from overseas models, particularly The Netherlands and Canada. The notion of the 'tipping point' is then examined in the context of three different end-user domains related to broadband systems; namely social networking sites, community ownership models that build community services, and the vexed eHealth service domain. The government National Broadband Network (NBN) tender process appears to have given little attention to what services are likely to be acceptable to, or needed by, Australian broadband consumers in the future. Hence a call is made for the 'tipping point' that is so much needed---a new policy framework that will provide constructive consumer participation on key policy decision making.
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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 | 0.006 | 0.028 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.014 |
| Scholarly communication | 0.018 | 0.019 |
| Open science | 0.002 | 0.016 |
| Research integrity | 0.010 | 0.010 |
| Insufficient payload (model declined to judge) | 0.035 | 0.005 |
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".