Bibliographic record
Abstract
Abstract: In recent years, the emergence of the "Fourth Industrial Revolution", commonly referred to as Industry 4.0, has been propelled by the global surge in consumer goods demand and the imperative for environmentally sustainable manufacturing practices. The fourth technological revolution, commonly referred to as Industry 4.0, is characterized by the heightened utilization of computers and robotics. The primary objective of this revolution is to enhance the caliber, efficacy, and versatility of industrial production. As a consequence of this prevailing inclination, there shall arise alterations in the manner by which tasks are structured and executed, potentially engendering an impact upon the overall welfare of employees. Should the technologies propelling the advent of Industry 4.0 continue to evolve in isolated compartments, with enterprises' operations remaining segregated and disjointed, the attendant hazards shall escalate, thereby culminating in an overall detrimental effect on Occupational Health and Safety (OHS). The potential compromise of the advancements achieved in the proactive administration of occupational health and safety may arise when substantial modifications are implemented. In order to avert the potential clash between technological advancement and occupational health and safety, it is imperative that a collaborative effort be undertaken by researchers, field specialists, and industry professionals. This collective endeavor aims to facilitate a seamless transition towards the era of Industry 4.0.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.031 | 0.003 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".