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Record W2955494442 · doi:10.7176/isde/10-5-05

Universal Design to Limit Food Cross-Contamination: Incased Set of Kitchen Utensils with Five Color-Coded Food Chopping Boards and Knifes

2019· article· en· W2955494442 on OpenAlexfundno aff
Diana Starovoytova

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Waste Reduction and Sustainability
Canadian institutionsnot available
FundersInnovation, Science and Economic Development Canada
KeywordsComputer scienceSet (abstract data type)SoftwareEngineering drawingEngineering

Abstract

fetched live from OpenAlex

This-study is focused on a-conceptual-design of a-kitchen-appliances/utensils-set, comprising of five-color-coded food-chopping-boards and five-matching-color-coded-knifes, to-reduce cross-contamination at private-homes, as-well-as at food-establishments. Selected-relevant-Patents, as-well-as products, available locally and internationally, were analyzed. The-Joseph-Joseph Index™ Color-Coded Chopping-Boards set (of four), was chosen as a-point of reference for the-current-design; its-seven-identified-limitations have-directed the-scope of the-current-design. Target-specifications/objectives, of the-set, were formulated from the-document-analysis, while Pair-wise-Comparison-Charts were-used, to-rank the-importance of the-objectives, in the-different-levels. The-best-ranked-design (out of the-four-alternatives made) was chosen, via standard Engineering-Design Weighted-Decision-Matrix (EDWDM) and ‘ Drop and Re-vote’ (D&R) method. 2D-drawings, of the-best-design-alternative, were created via computer-aided-design (CAD) AutoCAD-software 2018, while 3D-modeling, of the-set and all-its-components, was produced by Autodesk-Inventor-Version: 2016 (Build 200138000, 138). Designed-labels (positioned on each-board and each-knife, as-well-as on the-set itself, as an-inclined-panel) were introduced, to-cater for the-people with color-blindness (according to-the-fundamental-principles of the-Universal-design), and also to-avoid-confusion (as a-reminder which board is which) for all-users. The-study adopted ‘ analysis ’ method of materials-selection. The-main objectives, of the-intended-set, was used as a-guide, in-preliminary-materials-selection. This-concise-study has focused on conceptual -design only; and, hence, it-is further-recommends to: (i) carry-out a-detailed-design; (ii) select a-specific-material (out of the-group, identified by this-study); (iii) choose a-mode of fabrication of the-set; (iv) examine the-possibility of incorporating of anti-microbial-agent(s) and/or coating(s); (v) fabricate the-prototype(s); (vi) conduct explorative-use-ability-trials; and (vii) analyze the-marketing-aspect of the-final-set. This-work is potentially-beneficial-to engineering- product -design students and faculty, as-well-as to-households and food-establishments (subject-to successful-implementation). Keywords: Color blindness; Materials selection; Food safety; Joseph Joseph Index™ Color Coded Chopping Boards set. DOI : 10.7176/ISDE/10-5-05 Publication date :June 30 th 2019

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 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)0.000
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 score0.319
Threshold uncertainty score0.210

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.021
GPT teacher head0.226
Teacher spread0.204 · 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 teacher head, 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

Citations3
Published2019
Admission routes1
Has abstractyes

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