Open Connectivity, Open Data: Two Dimensions of the Freedom to Seek, Receive and Impart Information in the New Zealand Bill of Rights
Bibliographic record
Abstract
Recently, ideas about "rights" to Internet access or connectivity have received growing recognition from governments, legal institutions, and other political actors in several countries, including New Zealand Despite this emerging political and legal recognition, there are few, if any, systematic studies exploring such ideas. This paper aims to change this. First, it offers a theoretical exploration of the idea of a "right" to Internet access, including the diferent versions of such rights talk. Secondly, it examines whether there is any legal basis for such rights claims in New Zealand and ultimately argues that section 14 of the New Zealand Bill of Rights offers a legal basis for a certain kind of right to Internet connectivity, as well as a legal basis to claim wider access - via the Internet or other mediums - to government information. Some concrete implications, both legal and political, of these findings are also explored.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.002 | 0.002 |
| 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".