Fallacies of Global Unregulated Markets: The Case of Telecommunications
Bibliographic record
Abstract
The last thirty years have been marked by extraordinary transformations having radical impacts on the world economy and the post-war economic order. These transformations have been linked to the process of globalization and its effects on the structures of the world economy, international relations and international organisations. One of the most important changes has been the tremendous favour given to competition as the main organizational principle of social and economic activities in that states have unilaterally and collectively embraced deregulation, privatisation and liberalisation as the main driving force behind economic policies and international cooperation. A new global economic order characterized by a radical move towards markets has emerged and engaged private actors and states in a new global oligopolistic rivalry. This is particularly significant in some sectors, most notably the telecommunications (telecom) sector. This chapter will review the changes that have led to the emergence of global unregulated telecommunications markets, explore the fallacies of a global unregulated telecommunications regime and put into perspective emerging regulation challenges.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.033 |
| Scholarly communication | 0.013 | 0.012 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.007 | 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".