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Record W2530296083 · doi:10.18260/1-2--14421

The International Space University (Isu)

2020· article· en· W2530296083 on OpenAlexaboutno aff
Irina Nelson

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSpace exploration and regulation
Canadian institutionsnot available
Fundersnot available
KeywordsSpace (punctuation)AccreditationLibrary scienceInstitutionManagementPolitical scienceSociologyComputer scienceLaw

Abstract

fetched live from OpenAlex

Abstract NOTE: The first page of text has been automatically extracted and included below in lieu of an abstract The International Space University (ISU) Irina Nelson, Ph.D. Physics Professor, SLCC, 4600 S. Redwood Rd., Salt Lake City, Utah 84130 Visiting Faculty, 2002-2005, ISU, 67400 Illkirch, Strasbourg, France Irina.Nelson@slcc.edu irina.nelson@earthlink.net Abstract The International Space University (ISU) is a unique institution of higher learning and professional development whose mission is to “… develop future leaders of the world space community…” ISU offers two programs leading to Master of Space Studies (MSS) and Master of Space Business (MSB) degrees, a Summer Session Program (SSP), and a variety of seminars, workshops, round-table forums, and research services. ISU is accredited by the French Ministry of Education and has bilateral agreements with a number of affiliated academic, research, and industrial institutions in America, Europe, Asia, and Australia. This paper presents the ISU academic programs, illustrates its worldwide recognition, and provides information on the exceptional opportunities for education and international collaboration in space-related areas. Introduction The International Space University (ISU),1 founded in 1988, is an accredited institution of higher learning providing intensive multidisciplinary graduate-level training in space-related disciplines including space science, space engineering, space policy and law, space business and management, and space and society. ISU conducts its activities at its Central Campus in Strasbourg, France, 2 and at various other locations worldwide. The ISU mission is to “…develop future leaders of the world space community by providing interdisciplinary educational programs to students and space professionals in an international, intercultural environment.” 3 Distinctive for ISU is its focus on the “3 I” characteristics: Interdisciplinary, International, and Intercultural. The exposure of the ISU students to multidisciplinary educational programs and the opportunity to teamwork and network across national and cultural boundaries are not available in any other educational institution. In 2004, the International Satellite and Communications exchange (ISCe) Conference and Expo awarded ISU its prestigious ISCe Education Award. ISU currently employs seven full time resident faculty coming from six different countries (Belgium, France, Ireland, Japan, Russia, and the UK,) with extensive experience in research, business, and academia, and with previous affiliation with space agencies, space industries, universities, and governmental and non-governmental organizations. Their expertise spans over both technical and non-technical fields relevant to space, including: orbital mechanics, astrophysics, space applications, space business and management, rocket development, space information technologies, law, and humanities. In addition, seven part-time faculty (from Canada, France, Germany, Russia and the UK) and numerous (typically fifty) visiting lecturers representing different countries, contribute their expertise in various specialized topics such as: space utilization, space safety, project management, financing and insurance, human resources management, research, innovation, and technology transfer, patent and intellectual property, strategic alliances and international project management, etc. 4 “Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright @ 2005, American Society for Engineering Education”

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.945
Threshold uncertainty score0.548

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 head0.195
Teacher spread0.183 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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