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Record W4413424904 · doi:10.1016/j.jsse.2025.08.003

Independent safety investigation for commercial space accidents: a research on relevant international laws and their implications

2025· article· en· W4413424904 on OpenAlexaff

Bibliographic record

VenueJournal of Space Safety Engineering · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSpace exploration and regulation
Canadian institutionsMcGill University
Fundersnot available
KeywordsSpace (punctuation)LawGeographyPolitical scienceEngineeringComputer science

Abstract

fetched live from OpenAlex

Despite recent developments advocating for independent safety investigations into commercial space accidents amid the rapid expansion of global space activities, no unified international framework currently exists, unlike the comprehensive system established for aviation accidents under ICAO’s Annex 13. While the independent safety investigation model found in international aviation law and maritime law provide instructive frameworks, the fundamental differences in the legal regimes governing space, air, and maritime domains constrain their direct applicability to space-related incidents. Existing space treaties, notably the Outer Space Treaty, the Liability Convention, and the Rescue Agreement, delineate state responsibilities and liabilities but do not establish detailed mechanisms for post-accident investigation. Furthermore, the development of an international investigative framework for space accidents is impeded by significant challenges, including national security considerations, export control regimes, and broader geopolitical dynamics. Nevertheless, this paper underscores the critical importance of international cooperation and transparency in advancing space safety. It concludes by calling for further scholarly inquiry and multilateral engagement, highlighting recent efforts by the United States and its allies to address export control limitations through bilateral agreements as a pragmatic step toward reconciling safety imperatives with national security concerns in the governance of commercial space activities.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.848
Threshold uncertainty score0.386

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.030
GPT teacher head0.323
Teacher spread0.293 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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