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Record W2127447699 · doi:10.2174/1875934300902010017

Decrements Encountered when Wearing Hazardous Materials Gloves

2009· article· en· W2127447699 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

VenueThe Ergonomics Open Journal · 2009
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsUniversity of TorontoThe Wilson Centre
Fundersnot available
KeywordsHazardous wasteForensic engineeringEngineeringWaste management

Abstract

fetched live from OpenAlex

Hazardous materials gloves (HAZMAT) are frequently worn when performing clinical technical skills, but it is unclear how sensory and motor performance is affected in these circumstances. In Experiment 1, two timed standardized manual dexterity tests, and a test of sensory function were administered. Glove use resulted in a decreased ability to manipulate small objects and a decreased sensitivity to light touch. However, the ability to manipulate objects with a tool was unaffected by the glove. In Experiment 2, the objects were instrumented with a force/torque sensor and the coefficient of friction between the digits and the object was estimated. An elevation of grasping forces and an increased slipperiness between the digits and the object were observed. In Experiment 3, fingertip placement was quantified with pressure sensitive sheets and revealed a misalignment of the digits. Collectively these results suggest that impairments to motor performance when wearing a glove might be related to misalignment of the digits, associated with sensory decrement. These results can be used in the formulation of protocols for professionals wearing HAZMAT gloves and in the design of tools and HAZ-MAT garments.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.634
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.130
GPT teacher head0.479
Teacher spread0.350 · 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