Aspectos econômicos da construção civil no Brasil
Bibliographic record
Abstract
The Construction industry is influenced by a number of factors that dynamically relate to the sector.Economic policies that led to growth of family income and employment, increase in consumer credit, increase in supply of mortgage credit and the reduction of the Excise Tax of a number of construction inputs, were responsible for the growth of the sector in recent years.Construction influences a number of economic sectors, either through its high rate of employment, income, and taxes generation, or its capacity to generate demand in other industries.The influential role of Construction as a vector of economic growth is usually measured by the relative size of their aggregate output as a proportion of national one and by its wide network of industry connections and high employment multiplier effect.Another feature of this sector is the non-significant demand for imports, which does not affect the trade balance whilst the activity increases.Investigating the economics of Construction has paramount importance to understand its dynamics, the major political, social and economic factors that are directly 1105 http://
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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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.015 | 0.007 |
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".