Outsourced Services, Supervision of Contracts and Labor Liabilities: Case Study UNIR From 2015 to 2019
Bibliographic record
Abstract
This article aims to identify the monetary amounts spent by Fundação Universidade Federal de Rondônia (UNIR), with Labor Court due to administrative failures during the supervision of outsourced service contracts. It is a case study, with qualitative research, with documentary analysis of the decisions, sentences and judgments delivered in the processes. After the analysis of 68 (sixty-eight) cases in which UNIR appeared in the passive pole, categories were identified for the classification of the cases. It was found that there was a reduction in the number of lawsuits against UNIR after the Labor Reform and 21 (twenty-one) lawsuits were identified in which UNIR was ordered to pay labor indemnities or the contracted companies signed labor agreements, causing the public agency to be obliged to make payments through Small Value Requests (RPV), or Precatories, deriving from failures in internal controls and management contracts at Fundação Universidade Federal de Rondônia (UNIR).
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".