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Record W3129031376 · doi:10.69970/gjlhd.v8i2.1212

Good Fences Make Good (Space) Neighbours

2021· article· en· W3129031376 on OpenAlexfundno aff
Dale Stephens, Lachlan Blake

Bibliographic record

VenueGriffith journal of law and human dignity. · 2021
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSpace exploration and regulation
Canadian institutionsnot available
FundersEuropean Space AgencyGovernment of CanadaU.S. Department of Defense
KeywordsSpace (punctuation)Computer science

Abstract

fetched live from OpenAlex

Humanity has reached a critical point in its history. Technological advancements herald a great renaissance for humanity’s reach to the stars. States and private companies plan commercial and other activities in space and upon celestial bodies, demonstrating that humankind can become an inter-planetary species. Such planning occurs in accordance with the prevailing space law regime and, notwithstanding the undeniable ambition of the planners, it is evident this space law regime does have gaps and ambiguities that must be addressed before these endeavours can be meaningfully fulfilled. This article examines the legal regime encapsulated by the 1967 Outer Space Treaty (‘OST’) (ratified by all major space-faring nations) and explores ways in which specific OST provisions can give rise to temporary proprietary and jurisdictional rights, which can be used to avoid future conflict in space. The authors contend that these provisions provide rights of control to States so as to manage ‘facilities’, to exercise jurisdiction and to observe rights of ‘due regard’ that in turn establish basic legal boundaries. Such boundaries, it is argued, permit confidence and certainty in the conduct of commercial and other activities upon celestial bodies, enabling competing States and companies to delimit areas in which they conduct their operations. Additionally, the article examines the capacity of military forces to operate on these celestial bodies so as to undertake a peacekeeping type role consistently with the provisions of the OST. Such a function is argued to be necessary, given the unique attribution mechanism of the OST that can give public legal significance to the acts of private companies. It is an underlying theme of this article that respecting legal boundaries on the Moon and other celestial bodies while engaging in commercial activity can create good neighbours which in turn can underpin a peaceful, stable and cooperative space 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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.645
Threshold uncertainty score0.475

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.019
GPT teacher head0.266
Teacher spread0.247 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2021
Admission routes1
Has abstractyes

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