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Record W2807308590 · doi:10.14330/jeail.2018.11.1.01

The Aftermath of the US Space Resource Exploration and Utilization Act: What’s Left for China?

2018· article· en· W2807308590 on OpenAlexaff
Shengli Jiang, Yun Zhao

Bibliographic record

VenueJournal of East Asia and International Law · 2018
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSpace exploration and regulation
Canadian institutionsLeukemia & Lymphoma Society of Canada
Fundersnot available
KeywordsChinaSpace (punctuation)Resource (disambiguation)Left behindPolitical scienceLawComputer sciencePsychology

Abstract

fetched live from OpenAlex

The US Space Resource Exploration and Utilization Act 2015 aroused heated discussions. The international community has not yet reached consensus on the application of the concept of "common heritage of mankind" in the Moon Agreement. In accordance with the non-appropriation principle in the Outer Space Treaty, outer space is not subject to national appropriation. However, there is a need to balance the common interests of the international society and the interests of the States and private entities which invest heavily in the space resource exploration. The unilateral approach of the US by adopting a national law is not an ideal way to deal with space resource exploration. As a major space-faring nation, China should take a proactive approach in both national legislation and international cooperation in this field. At the international level, China should consider establishing an appropriate international regime for space resource management.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.264
Threshold uncertainty score0.525

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0060.007
Scholarly communication0.0070.004
Open science0.0020.003
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0040.000

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 head0.022
GPT teacher head0.272
Teacher spread0.250 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations3
Published2018
Admission routes1
Has abstractyes

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