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Record W4283024870 · doi:10.1109/mcom.2022.9800118

Guest Editorial: Low Earth Orbit Satellites to Enable Access Equality: Part II

2022· editorial· en· W4283024870 on OpenAlexaff
Güneş Karabulut Kurt, M. A. Vázquez‐Castro, Ejder Baştuǧ

Bibliographic record

VenueIEEE Communications Magazine · 2022
Typeeditorial
Languageen
FieldEngineering
TopicSatellite Communication Systems
Canadian institutionsBell (Canada)Polytechnique Montréal
Fundersnot available
KeywordsConstellationTelecommunicationsComputer scienceLow earth orbitMega-Position (finance)SatelliteBusinessAerospace engineeringEngineeringPhysicsAstronomy

Abstract

fetched live from OpenAlex

The emerging low Earth orbit (LEO) mega-constellations are an important means to free access to communication. Copper and fiber landlines can be blocked to stop people's access to resources. However, as long as there is access to the atmosphere, LEO constellations will be accessible. This role of mega-constellations has become apparent since the publication of Part I of our Feature Topic (FT) in the April 2022 issue. Despite social, economic, and political circumstances, current mega-constellations enduring jamming attacks also prove their critical role as communication enablers. Part II of this FT on access equality solutions in LEO mega-constellations focuses on their additional benefits, the integration with the terrestrial networks, support for naval logistics, and position, navigation, and timing (PNT) services.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.018
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0120.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.002

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 head0.048
GPT teacher head0.317
Teacher spread0.269 · 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.

Study designNot applicable
Domainnot available
GenreEditorial

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

Citations1
Published2022
Admission routes1
Has abstractyes

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