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Record W2284508225 · doi:10.4271/2005-01-3047

ALIS - Art Lab in Space

2005· article· en· W2284508225 on OpenAlexaboutno aff
John F. Curran

Bibliographic record

VenueSAE technical papers on CD-ROM/SAE technical paper series · 2005
Typearticle
Languageen
FieldEarth and Planetary Sciences
Topic3D Surveying and Cultural Heritage
Canadian institutionsnot available
Fundersnot available
KeywordsComputer scienceSpace (punctuation)Computer graphics (images)Operating system

Abstract

fetched live from OpenAlex

The ALIS (Art Lab In Space) concept involves the delivery to orbit of a miniature art gallery featuring micro-sculptures (artefacts) that float and interact freely in weightlessness, within a deployed inflatable, attached to the International Space Station's external payload attachment site (refer to illustrations on pages 5 to 8 inclusive). The gallery is internally lit and observed through video cameras with a video downlink to a ground website, enabling the public to ‘visit’ the gallery through a website portal. The space shuttle fleet has flown well over 100 missions involving thousands of experiments and payloads, none of which has been devoted to active art. Of particular value is the approach to providing public access to space through a website link, with an obvious cultural and educational dimension. It is vital that new ways are found to attract the attention and engage the interest of the public in space if it is to prosper as a field of human endeavor. ALIS is a concept that focuses on this need. In the recent Presidential Space Commission's report (June 2004), page 44 refers to the need for public engagement as being critical to sustaining the space exploration vision. Anna Hill's paper ‘Space Synapse System’ presented at the IAC Vancouver conference is one of the few other examples of advancing ideas to place art into the unique context of space. Science is said to be a language for understanding the universe. Art is a response to being human, an output by instinct. ALIS showcases the crossover of both fields, where boundaries are blurred. Metamorphing, an exhibition held at the Science Museum in London in 2002 explored this crossover relationship between art and science. It proved to be a very powerful and popular theme. There are a number of technical challenges involved. Chief among these are: (a) The development of the gallery as a compact and lightweight payload suitable for the Space Shuttle and the International Space Station. (b) The provision of a reliable high capacity video downlink in real time or near real time to a ground receiving station for website access. (c) Assurance of operating reliability and safety in the hostile environment of space. (d) Minimization and simplification of mechanical and electrical parts and subsystems to achieve development and fabrication economies. Ongoing research has revealed that none of these technical challenges is especially difficult and are typical of those common to the development of all spaceflight payloads. ALIS will pull together a number of technologies developed by aerospace companies and available in the marketplace in one form or another, including space inflatable technology and space micro-camera technology.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.729
Threshold uncertainty score0.386

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0110.004
Open science0.0010.005
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.7290.549

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 head0.015
GPT teacher head0.229
Teacher spread0.214 · 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.

Study designSimulation or modeling
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
Published2005
Admission routes1
Has abstractyes

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