MétaCan
Menu
Back to cohort

Activities of the International Space Organization and Station

2021· book-chapter· en· W4238720294 on OpenAlexaboutno aff

Bibliographic record

VenueAdvances in public policy and administration (APPA) book series · 2021
Typebook-chapter
Languageen
FieldPhysics and Astronomy
TopicSpace exploration and regulation
Canadian institutionsnot available
Fundersnot available
KeywordsInternational Space StationSpace (punctuation)Agency (philosophy)Jupiter (rocket family)Political scienceHuman spaceflightPlan (archaeology)Space explorationAeronauticsGeographyPublic administrationEngineeringAerospace engineeringComputer scienceSociologyArchaeology

Abstract

fetched live from OpenAlex

This chapter describes the establishment process, purpose of establishment, mission, exploration plan, activities of the European Space Agency (ESA) and International Space Station (ISS), and an explanation of the contents of the treaty that is legal basis for its establishment. The European Space Agency (ESA) is an intergovernmental organization of 22 member states dedicated to the exploration of space. Established in 1975 and headquartered in Paris, France, ESA has a worldwide staff of about 2,200 in 2018 and an annual budget of about € 6.68 billion (US $ 7.43 billion) in 2020. ESA also works closely with space organizations outside Europe. ESA has missions planned for Jupiter (JUICE, 2022) and others that will seek dark matter (Euclid, 2020) and observe the energetic universe (Athena, 2028). The International Space Station (ISS) is a space station (habitable artificial satellite) in low Earth orbit. The ISS programme is a joint project between five participating space agencies: NASA (United States), Roscomos (Russia), JAXA (Japan), ESA (Europe), and CSA (Canada).

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: Other · Consensus signal: Other
Teacher disagreement score0.083
Threshold uncertainty score0.278

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0020.001
Scholarly communication0.0070.004
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0830.079

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 head0.010
GPT teacher head0.255
Teacher spread0.245 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueAdvances in public policy and administration (APPA) book seriesSame topicSpace exploration and regulationFrench-language works237,207