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Record W4386465905 · doi:10.5334/ijc.1271

Outer Space as a Global Commons: An Empirical Study of Space Arrangements

2023· article· en· W4386465905 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of the Commons · 2023
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSpace exploration and regulation
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsCommonsGlobal commonsSpace (punctuation)SustainabilityLaw and economicsPerspective (graphical)Investment (military)Empirical researchPolitical scienceEconomicsSociologyLawEpistemologyComputer sciencePoliticsEcologyArtificial intelligence

Abstract

fetched live from OpenAlex

The designation of outer space as a global commons is a contentious issue. Some argue that officially recognizing it as such could discourage private investment, while others claim that it would not sufficiently promote sustainability. To address these debates, this article examines how space actors use a global commons framework in their institutional arrangements. Based on a collection of 1042 space arrangements, we characterize a subset of arrangements that explicitly reference concepts related to the notion of global commons. We observe that this framework is seldom used in bilateral arrangements and is mostly absent from recent agreements made by influential players. Furthermore, we find that employing principles related to global commons in arrangements does not result in significantly different operational rules. As a result, we conclude that a clearly defined global commons perspective has yet to be articulated and institutionalized.

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.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.255

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 science0.0010.000
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 head0.045
GPT teacher head0.375
Teacher spread0.331 · 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