MétaCan
Menu
Back to cohort
Record W11493821

HUMAN FACTORS TOOL USE AMONG SWEDISH ERGONOMISTS

2007· article· en· W11493821 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueChalmers Publication Library (Chalmers University of Technology) · 2007
Typearticle
Languageen
FieldEngineering
TopicErgonomics and Human Factors
Canadian institutionsnot available
Fundersnot available
KeywordsJudgementFocus groupHuman factors and ergonomicsPsychologyProcess (computing)Theme (computing)Work (physics)Applied psychologyEngineeringComputer scienceBusinessPoison controlPolitical scienceMedicineMarketing
DOInot available

Abstract

fetched live from OpenAlex

This paper reports on a preliminary analysis of interviews conducted with Swedish ergonomists (SE). The study is using the theme of ‘tools’ to explore how ergonomists work on a daily basis. It was found that SEs often practice ergonomics as part of a ‘treatment’ process. Most SEs use their professional judgement when assessing and complement this with checklists, pictures and questionnaires. More sophisticated quantitative tools are less used. SEs who are internal employees, rather than external service providers, seem to be more able to participate in new design activities and to engage in follow-up on changes. SE’s ‘patient’ focus may pose a challenge to participating in design processes where stakeholders tend to have a ‘systems’ focus. This research is currently being extended to include Canadian ergonomists as well as industrial engineers in both countries.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.122
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0010.000
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 head0.010
GPT teacher head0.174
Teacher spread0.164 · 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