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Record W2005650112 · doi:10.1177/0040517509358796

Investigation of the Contribution of Garment Design to Thermal Protection. Part 2: Instrumented Female Mannequin Flash-fire Evaluation System

2010· article· en· W2005650112 on OpenAlexafffund
Tannie Mah, Guowen Song

Bibliographic record

VenueTextile Research Journal · 2010
Typearticle
Languageen
FieldMaterials Science
TopicTextile materials and evaluations
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Alberta
KeywordsClothingFlash (photography)Thermal manikinSimulationForensic engineeringEngineeringArchitectural engineeringVisual artsArtMaterials scienceGeographyThermal insulation

Abstract

fetched live from OpenAlex

The purpose of this research was to gain insight into how well women were protected from thermal hazards when wearing garments designed for women compared to garments designed for men. A three-dimensional body scanner was used to measure the size and distribution of air gaps between a female mannequin and thermal protective coveralls (Part 1). In Part 2, a flash-fire instrumented female mannequin evaluation system was used to investigate the effect of garment style and fit on thermal protection. The findings demonstrated that air gap size had a positive correlation with time to burn injury and a negative correlation with energy absorbed. Garment style and fit influenced protection, as the inappropriate fit of the women’s style compared to the men’s made some areas of the female mannequin more susceptible to burns than others.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
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 head0.157
GPT teacher head0.364
Teacher spread0.207 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations55
Published2010
Admission routes2
Has abstractyes

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