Varieties of Capitalism within Telecommunications Policy: The Case of Broadband Diffusion in Denmark, Austria, Canada and Ireland
Bibliographic record
Abstract
In the studies about Broadband diffusion, a rich debate has arisen over which policies are most effective in driving successful diffusion within a country. These studies offer different policy recommendations to Governments that are argued to further the diffusion process of Broadband. However, these policy recommendations appear to be based more on ideological reasons than serious analysis of the real world at times. Preliminary data of successful broadband penetration demonstrates that it is not possible to establish clear policy recommendations that would consistently prove successful. Specifically, empirical evidence shows that countries with similar institutions and public policies reached different diffusion outcomes and countries that chose different policies achieved similar diffusion results. Using a Varieties of Capitalism approach, it is suggested that there may not be one single policy recommendation that will produce long-run and successful broadband diffusion. Depending on institutional conditions, each country’s success in broadband diffusion relies on policies constructed according to their comparative institutional advantages. The hypothesis behind this research is that a high degree of political will and involvement with these policies will allow both (Market-Policies and Coordination-Market Policies) to reach a successful broadband diffusion. To test this hypothesis, countries belonging to Coordinate Market Economies (CME) and Liberal Market Economies (LME) are analyzed.
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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.009 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| 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 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".