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Record W7103349490

Jason Held

2016· article· W7103349490 on OpenAlexaboutno aff

Bibliographic record

VenueScholarly Commons (Embry–Riddle Aeronautical University) · 2016
Typearticle
Language
FieldPhysics and Astronomy
TopicSpace exploration and regulation
Canadian institutionsnot available
Fundersnot available
KeywordsBattleSpace (punctuation)CubeSatRocket (weapon)International Space StationMissileSpace ShuttleSpace researchSpace Science
DOInot available

Abstract

fetched live from OpenAlex

Prior to founding Saber Astronautics, Dr. Held was a US Army Major and Army Space Support Team leader for USSTRATCOM (formerly Space Command) and deployed internationally in support of military space missions. Dr. Held was a lead instructor at the Interservice Space Fundamentals Course and a guest engineer at Army Space and Missile Command Battle Lab. He conducted flight software engineering for the Wide Field Camera 3 of the Hubble Space Telescope and testing for the International Space Station. He also conducted verification and validation testing for an invasive class II medical device currently in market. Dr. Held was twice a guest instructor for the University of Stuttguart’s IRS Space Station Design Workshop and led a research expedition in the high Canadian Arctic. He also co-founded the Delta-V Spacehub Startup Acellerator. At the University of Sydney, he founded the space engineering laboratory, providing leadership for the university CubeSat project and Australia’s first premix rocket engine.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.940
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.005
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.004

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 head0.022
GPT teacher head0.209
Teacher spread0.188 · 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; both teacher heads agree on what is shown here.

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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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