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Record W6982673978

Keeping up with the neighbours? Reviewing national space laws to account for new technology - The Australian and Canadian experience

2017· article· en· W6982673978 on OpenAlexaffabout

Bibliographic record

VenueBond University Research Portal (Bond University) · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Music Education Insights
Canadian institutionsMcGill University
Fundersnot available
KeywordsSpace (punctuation)The artsCitationTest (biology)Key (lock)
DOInot available

Abstract

fetched live from OpenAlex

The development of space-related technology since the dawn of the space age in 1957 has given rise to many new and exciting possibilities. It has also meant that space activities continue to evolve, facilitating the participation of a variety of space ‘actors’ other than States. Given the international responsibility of States for ‘national activities in outer space’ under both customary international law and the Outer Space Treaty, there is an imperative for States to enact relevant and contemporary national space law to regulate those non-governmental space actors within their respective jurisdiction. But enacting national space law is not enough – as the paradigm of space-related technology changes and evolves, it is clear that such shifts require the ongoing review of appropriate national regulatory standards over relatively short timeframes. National legislatures have to come to grips with the ever-changing range of space technology, particularly if they wish to become increasingly involved in space activities. Whatever rules are put in place during the review process must find the right balance between, on the one hand, the need for regulation of the economic and technical elements, so as to minimise the risks to an acceptable level, and the facilitation of research and innovation to allow for greater and more efficient access to space, and the potential for commercial returns, on the other. This paper will describe this process of review and rejuvenation of existing national space laws in both Australia and Canada, outlining the relevant factors that were taken into account in order to maximise the utility of the regulations to meet the specific goals and requirements within each country.<br/>

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.822
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0060.001
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.151
GPT teacher head0.316
Teacher spread0.165 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2017
Admission routes2
Has abstractyes

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