Innovative Training Methodology, In Occupational Risk Prevention, For Welding Tasks in Metal Structures
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
In this research an analysis is made with a preventive perspective of an activity within the metal sector, specifically of the activities of welding metal structures. The activities and risks involved in the welding of metal structures will be analysed, detecting the existing training deficiencies, establishing training objectives and strategic lines that allow the design and planning of a training plan to be carried out. It is undeniable the important role played by the training of workers in the prevention of occupational hazards to combat existing risks. The improvement of health, safety, working conditions and the accident rate, which currently stands at 650000 occupational accidents with sick leave. As well as to establish a culture of prevention, taking into account that the elaboration of the training plan contemplates the achievement of the training objectives established according to the deficiencies detected. The planning, timing and execution of the training actions that make up the plan, the follow-up and maintenance of the contents, and the evaluation of the workers who take it are the blocks that will make up the training plan.
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 | 0.001 |
| 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