CRESCIMENTO DO EMPREGO FORMAL NOS MUNICÍPIOS DO ACRE
Bibliographic record
Abstract
O objetivo deste artigo foi analisar o emprego formal nos setores da economia nos municípios do estado do Acre nos anos de 2005, 2010 e 2015. Os dados foram retirados da RAIS e agrupados nos setores: primário, secundário, terciário e administração pública. Os resultados mostraram que de modo geral o emprego vem crescendo no estado, no entanto, a partir de 2010 o crescimento foi menor. Os resultados demonstram que o estado do Acre não possui um setor dinâmico que impulsione o crescimento econômico para alavancar o emprego. Outro fator evidenciado, é que mesmo com crescimento do setor terciário maior do que o administração pública, este ainda é o que mais tem empregado no estado.
 Palavras-chaves: Mercado de Trabalho, Crescimento econômico, Acre.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.008 |
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".