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Record W2048271257 · doi:10.1089/space.2013.0002

Commercial On-Orbit Satellite Servicing: National and International Policy Considerations Raised by Industry Proposals

2013· article· en· W2048271257 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

VenueNew Space · 2013
Typearticle
Languageen
FieldEngineering
TopicSpace Satellite Systems and Control
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSpace industryBusinessSpace (punctuation)SatelliteIndustrial organizationTelecommunicationsMarketingEngineeringComputer scienceCommercialization

Abstract

fetched live from OpenAlex

Abstract Commercial on-orbit satellite servicing for the first time presents itself as a concrete and pressing policy issue in several countries. Several commercial entities are developing or contemplating capabilities that could enable cost-efficient in-space servicing and refueling in ways previously thought unfeasible. For example, in 2011, two commercial firms planned to develop a commercial servicing vehicle and perform the first commercial mission. Other commercial players have also announced servicing programs. A commercial servicing industry will evolve with its policy, legal, and regulatory environment. The policy choices of national governments, acting either individually or in concert, will determine whether a commercial servicing industry emerges and how it develops. We begin this article by describing commercial servicing and examining recent and proposed efforts at developing commercial servicing capabilities from technical and business perspectives. We then discuss the national and international policy choices that shape the prospects of an emerging commercial servicing industry.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.556
Threshold uncertainty score0.777

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.244
Teacher spread0.231 · 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