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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 OpenAlexaff
Pauline Pic, Philippe Evoy, Jean‐Frédéric Morin

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.

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)0.006
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0030.011
Scholarly communication0.0050.009
Open science0.0010.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.001

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

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 designObservational
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

Citations17
Published2023
Admission routes1
Has abstractyes

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