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Record W3172112993 · doi:10.1111/1758-5899.12950

Astro‐Environmentalism: Towards a Polycentric Governance of Space Debris

2021· article· en· W3172112993 on OpenAlexaff
Jean‐Frédéric Morin, Benjamin Richard

Bibliographic record

VenueGlobal Policy · 2021
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSpace exploration and regulation
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsTragedy of the commonsSpace debrisCorporate governanceCommon-pool resourceIncentiveCommonsSustainabilitySovereigntySpace (punctuation)Global commonsEnvironmental governanceLaw and economicsProperty rightsEconomic systemEnvironmental resource managementPolitical scienceBusinessEconomicsEcologyGeographyPoliticsDebrisLawMicroeconomicsComputer scienceBiology

Abstract

fetched live from OpenAlex

Abstract The Earth’s orbital space is increasingly threatened by debris. It is frequently described as a common‐pool resource vulnerable to a ‘tragedy of the commons’ scenario. Scholars have suggested ambitious policy proposals to tackle the tragedy of space debris and assure the sustainability of the Earth’s orbits. Their proposals can be classified into three categories: hierarchical regulations, economic incentives and property rights. All three categories require some form of central coordination. However, there might be an alternative approach to the problem and other potential solutions. Elinor Ostrom suggested that decentralized, polycentric systems are appropriate for governing common‐pool resources. Anecdotal evidence suggests that a polycentric form of governance can encourage a more sustainable use of the Earth’s orbits.

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)0.008
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.021
Scholarly communication0.0080.005
Open science0.0010.007
Research integrity0.0020.003
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 head0.007
GPT teacher head0.251
Teacher spread0.244 · 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 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

Citations37
Published2021
Admission routes1
Has abstractyes

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