Information Policy Interactions: Net Neutrality and Access to Information in US and India
Bibliographic record
Abstract
The tremendous growth and ubiquity of the Internet in today’s world makes access to information much easier than ever before. Many global forums consider access to information as a basic right and an absolute necessity for the sustainable economic development of nations and an indispensable instrument for human growth. Net neutrality is the concept that all citizens should have equal and non-discriminate access to the Internet and networked services, without any restrictions. This paper looks at the history and evolution of the concept of net neutrality and the associated concept of access to information in the context of the United States and India. U.S. and India are chosen since they are both large democracies accounting for the second and third largest number of Internet users. US is the world’s largest and mature economy, whereas India is an emerging economy. Both countries are current dealing with the issue of digital divide, and both countries are currently embroiled in animated debates concerning net neutrality and access to information. The paper offers a contrast between the approaches taken by the two countries and the interactions among the government, regulators, the law and citizens. The results of this study could be used as a basis by countries that are embarking on information policy formulations.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.004 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".