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Record W2127582114 · doi:10.1108/00438020310462863

Socio‐technical and ergonomic aspects of industrial technologies

2003· article· en· W2127582114 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueWork Study · 2003
Typearticle
Languageen
FieldEngineering
TopicErgonomics and Human Factors
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsOrder (exchange)Emerging technologiesResistance (ecology)Computer scienceTechnology transferRisk analysis (engineering)BusinessManufacturing engineeringKnowledge managementEngineering

Abstract

fetched live from OpenAlex

The growing global market means that new technologies, and even new industries, are constantly being introduced to new geographic areas. Often, these new areas have different backgrounds, languages and cultures than the area from which the technology is imported. This can give rise to tensions, which can result in strong resistance to the introduction of the technology at one level, or simply less than optimal operation of the technology at another. In order to avoid such problems, it is important to understand the environment in which the technology must operate, and to ensure that its introduction is carried out with a sensitivity to local cultural values. This paper explores these socio‐technical factors, and describes how the application of ergonomics, in its broadest sense, can be used to identify and remove barriers to successful technology transfer.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score0.349

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 head0.022
GPT teacher head0.215
Teacher spread0.193 · 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