MétaCan
Menu
Back to cohort
Record W4405511828 · doi:10.1504/ijhfms.2024.10068501

Use of JACK Modelling Software to Quantify the Reachability of ISO 6682

2024· article· en· W4405511828 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of Human Factors Modelling and Simulation · 2024
Typearticle
Languageen
FieldHealth Professions
TopicQuality and Safety in Healthcare
Canadian institutionsnot available
FundersQueen's University
KeywordsReachabilitySoftwareComputer scienceReliability engineeringEngineeringAlgorithmProgramming language

Abstract

fetched live from OpenAlex

For decades, human factor experts have pushed for the redesign of mining machine cabs to improve operator sightlines and ergonomics.Current cab design does not accommodate a full range of operator sizes, causing many workers to adopt non-neutral postures, which can increase their risk for musculoskeletal injury.This work examined the reachability of the zone of comfort (ZoC) for hand control locations in JACK software as defined for a range of operators.Once reach envelopes were overlaid onto the cabs for a variety of sized operators, no condition existed where an operator could reach 100% of the ZoC for hand controls.The best reachability was achieved by the largest operator, while the 5th percentile Latino female can fully reach only 29.7% of controls without using flexion.This work is the first to examine the validity of ISO 6682 from an equity, diversity, and inclusion perspective.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.327
Threshold uncertainty score0.330

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 integrity0.0000.001
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 head0.394
GPT teacher head0.503
Teacher spread0.108 · 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