The Influence of Employee Competency in Small and Medium Business Brazil and Brics and Jair Bolsonaro’s 1st Year of Presidency
Bibliographic record
Abstract
This study aims to look at employee competency with job satisfaction as an intervening variable at small and medium business (SMB) by consdring the Brazil politics. The political stage in Brazil changed course towards the “right” on 1 January 2019 when the anti-globalist former army officer Jair Bolsonaro was inaugurated as the 38th President of the Republic. That was an abrupt change of ideologies for a country leaded by the “left” (Workers’ Party) in the last 13 years. Scholars made contradictory assumptions about the future of BRICS: one of the most significant economic organisations on the international arena nowadays, within the new Brazilian background. In the beginning of 2019 the opportunity for Braxit was not excluded, although there was no immediate call for it. However, the most common opinion came from pragmatists like N. Muhandiram: they affirmed that the union would keep functioning but it would meet multiple challenges. This article gives an answer to the question why the “right” turn in Brazil affects the relations between the biggest Latin American democracy and BRICS.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".