Estudio de costos y causas de la rotación de personal técnico del área de Well Testing en la empresa Sertecpet S.A.
Bibliographic record
Abstract
The study's main objective is to determine the main causes that exist in the turnover in the company Sertecpet SA and if turnover costs affect the utility. The research consists of five parts, introduction to the problem, background, problem, hypothesis, theoretical framework, assumptions of the author and the author's course was analyzed; in the second part of the process of review of the literature it was developed; in the third part it focused on the methodology and research design, ie research tools and sources of data collection; in the quarter, data analysis, results and finally in the fifth part the conclusions and recommendations presented were developed. The results obtained in this investigation determined that the main causes of turnover, job dissatisfaction is the lack of benefits, career plans, emotional wages and low pay. With this background the importance of knowing exactly what causes that affect staff turnover and costs in order that management and headquarters establish preventive measures to solve the problems is concluded.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".