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Record W2279708105 · doi:10.1177/1541931213601227

Preliminary Assessment of Ergonomic Injury Risk Factors in the Extravehicular Mobility Unit Spacesuit Glove

2016· article· en· W2279708105 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueProceedings of the Human Factors and Ergonomics Society Annual Meeting · 2016
Typearticle
Languageen
FieldEngineering
TopicSpace Exploration and Technology
Canadian institutionsLockheed Martin (Canada)
Fundersnot available
KeywordsSpace suitGloveboxAeronauticsSimulationPoison controlEngineeringPhysical medicine and rehabilitationMedicineMechanical engineeringMedical emergency

Abstract

fetched live from OpenAlex

Injuries to the hands and fingers are commonly reported among astronauts who perform and train for Extravehicular Activities in the Extravehicular Mobility Unit Spacesuit. In an effort to better understand the physical and environmental ergonomic injury risk factors associated with spacesuit glove use, a custom built carrier glove with multiple integrated sensors was developed to be worn within the spacesuit glove with the purpose of measuring the physical and environmental variables acting on the fingers and hand, and the physiological response, within two pressurized glove conditions in a 1G laboratory setting. One male subject performed multiple dynamic and functional tasks in a pressurized EMU. Results indicate that the sensor glove is capable of measuring multiple physical and environmental variables associated the development of finger and hand injuries observed in astronauts.

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.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.517

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.014
GPT teacher head0.239
Teacher spread0.225 · 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