A INFLUÊNCIA DA CONFIANÇA ORGANIZACIONAL NOS ÍNDICES DE ROTATIVIDADE E ABSENTEÍSMO DO SETOR DE TRANSPORTE: UMA ANÁLISE COMPARATIVA DE CASOS
Bibliographic record
Abstract
The studies on trust have proliferated in the national and international literature. However, the relationship between organizational trust, absenteeism and turnover is rarely discussed in the literature. In order to fill this gap, this dissertation aims to analyze the impact of organizational trust on the turnover and absenteeism levels, based on two premises: (1) organizational trust impact on turnover rate; (2) the higher the organizational trust, the lower the absenteeism rate. Therefore based on a qualitative methodology was carried out a comparative case study between two bus companies, located on greater Rio de Janeiro, with the questionnaires Trust Scale Employee of the Organization (ECEO) prepared by This study concluded that: (1) the greater the confidence in promoting employee growth and the organizational soundness, the lower will be the turnover levels; (2) the results demonstrate a negative association between rules relating to the dismissal of employees and turnover levels; (3) it is not possible to assume the influence of organizational trust in absenteeism companies.
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How this classification was reachedexpand
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.001 |
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; both teacher heads 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".