Ergonomic analysis of work activity for the purpose of developing training programs: the contribution of ergonomics to vocational didactics
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.
Bibliographic record
Abstract
Questions related to job skills and the teaching situations that best promote skill development are investigated by specialists in various fields, notably among them, ergonomists. This paper presents the findings of an ergonomic intervention study whose aim was to develop a meat-deboning training program by taking into account both the training content to be constructed and the working conditions that might facilitate or hinder skill development. One-on-one interviews and group discussions, on-the-job and videotape playback observations, as well as self-confrontation interviews were carried out. Activity analysis revealed major variability in work methods. The reasoning behind the experienced workers' actions and the experiential job knowledge they had developed were brought to light and served to develop the training content. The determining factors in the choice of work methods were identified, allowing adjustments to be made to the working conditions that might hinder skill development. The ergonomic process that implied taking working conditions into account in our study may make a significant contribution to vocational didactics, which is based on the cognitive analysis of work for the purpose of improving the effectiveness of job-skills training.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it