Bibliographic record
Abstract
This study investigates prevailing restrictions on Internet diffusion through blocking of websites across five categories in diverse country domains. A website block finder (WBF) application is used to provide a snapshot view on Internet filtering imposed through government regulations across ten countries, namely Canada, China, France, Germany, Iran, New Zealand, Saudi Arabia, Turkey, UAE and USA. The five categories selected for this study are religion, political, news channels, entertainment and social networking. The WBF performs a domain name server lookup and searches for websites which are identified by their IP addresses by following related linked URLs to inform whether websites belonging to that category have been blocked or not within that countryâs domain. Findings reveal that no blocking restrictions existed among the identified categories in four countries (Canada, New Zealand, Turkey and USA), but varying degrees of restrictions have been applied in the remaining six countries (China, France, Germany, Iran, Saudi Arabia and UAE) at the time the WBF application was run. The study provides a snapshot view on website restrictions within the selected categories and raises awareness on prevailing regulations imposed on Internet diffusion in the ever-increasing complex global environment.
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 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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 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".