Moon, Inc.: The New Zealand Model of Granting Legal Personality to Natural Resources Applied to Space
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract This article presents a groundbreaking new model for the management of natural resources, introduced into New Zealand (NZ) law in line with the worldview of the indigenous Maori. The article goes on to analyze the model through the lens of the theory of Nobel Laureate Elinor Ostrom and her design principles for managing common-pool resources. Building on this analysis, the article envisages a scenario of applying model under the NZ Act—adapted using Ostrom's theory—to the moon and other space resources and to space habitats. Considering the unsettledness of the debate on the exploitation of space resources and retreat to national arrangements, the article examines whether the model under the NZ Act holds promise for a widely agreed, efficient, and equitable regime for managing space resources and whether it could also be extended to the governance of space habitats. A product of two legal traditions—the common law and that of the indigenous Maori—the NZ Te Urewera Act 2014 is the first statute in the Western legal tradition to grant legal personality to a natural resource—a natural park—and establishes it as something like a common-law corporation. In addition, the Act sets out the usage rights and establishes institutions. The article concludes that the NZ Act satisfies most of Ostrom's design principles and has potential for success. The article therefore continues with an intellectual exercise, applying the model to the moon and other space resources and to space habitats, and tries to appraise the outcome of such an application. However, the article is not necessarily a call to implement the model under the NZ Act to outer space, but rather to consider alternative governance models for space-based governance.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it