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Record W2062486377 · doi:10.1177/0887302x0101900404

Trousers Developed from the ASTM D5586 and the Canada Standard Sizing for Women's Apparel

2001· article· en· W2062486377 on OpenAlexaffabout
Lorna D. Campbell, Lena Horne

Bibliographic record

VenueClothing and Textiles Research Journal · 2001
Typearticle
Languageen
FieldPsychology
TopicColor perception and design
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsClothingProduct (mathematics)PsychologyTest (biology)SizingSample (material)Social psychologyMathematics

Abstract

fetched live from OpenAlex

A theory of product performance and consumer satisfaction was applied to examine the instrumental and expressive outcomes associated with prototype trousers developed from the Canada Standard Sizing (CSS) size code M18 and the ASTM D5586 size code MPl6. Instrumental outcomes are positive or negative judgments of a product based on consumers' reactions to the physical aspects of a product. Expressive outcomes refer to positive or negative judgments of a product based on consumers' personal or emotional reactions to a product. A convenience sample of 20 women aged 56 to 89 years participated in a two-week wear test followed by face-to-face interviews. The results showed that (a) the participants' measurements were similar to the ASTM MP16 measurements; (b) although participants were satisfied with the ASTM prototype trouser, there was no significant difference in overall satisfaction; (c) participants tended to associate both prototype trousers with instrumental outcomes.

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.931
Threshold uncertainty score0.137

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.001

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 head0.098
GPT teacher head0.390
Teacher spread0.292 · 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 designObservational
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

Citations18
Published2001
Admission routes2
Has abstractyes

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