Bibliographic record
Abstract
As strategic planning and management are of the most important axes of management systems in an organization, strategic planning and management can have a positive effectiveness in the control of the technical and non-technical parameters of the system at all levels and in the final results and outcomes of the organization for superior management of the system in any organization.One of the most commonly integrated management systems is HSE management system.This management system tries to integrate health, safety, and environment, management systems and guide them in an integrated and controlled way.The study was an attempt to make MAPNA Group more capable of proper management of HSE system.The study tried to identify and analyze the internal factors (strengths and weaknesses) and external factors (opportunities and threats) affecting HSE system and prioritize them to develop, examine and implement HSE requirements in MAPNA -Jahrom power plant and to present management strategies and develop appropriate strategies.This was done using field measures, interview with competent personnel and studying the related research.Finally, SWOT management model was used to deal with all the internal and external factors to extract, review and develop proper management strategies to strengthen the opportunities and strengths and to analyze and reduce the weaknesses and threats.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.952 | 0.939 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".