Law of criminal offences and its real effectiveness in Monte Castelo during the period 2008-2012
Bibliographic record
Abstract
During the dictatorship period, after Brazil suffered a coup, carried on by Getulio Vargas in 1930, which led to a new political system, known as "New State", it became necessary to create rules that would establish order and state security. Thus the Law of Misdemeanor Criminal published by Decree-Lawn. 3688, on 3 October 1941. However, after seventy years of its term that law is regarded by some scholars as the very old, why was enacted before the Constitution Federal/88, and wonders why their receptivity. In turn, the same is applicable to the present day, but with some changes due to the evolution of society. This is where we intend to develop the work, analyzing the (in) effectiveness of this law demonstrating its reality regarding compliance with the standard in Monte Castelo, Santa Catarina State, during the period 2008-2012.
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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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".