Prática religiosa e criminalidade: um estudo de caso
Bibliographic record
Abstract
O objetivo principal deste estudo é analisar quais variáveis influenciaram a prática religiosa de pessoas que cometeram delitos e suas motivações para o crime, a partir da aplicação de questionários e entrevistas, junto a condenados com penas alternativas, na cidade de Foz do Iguaçu, Paraná. Além da pesquisa de campo e análise descritiva dos dados, este estudo faz uso de uma regressão logística como modelagem econométrica. Os resultados indicam que as variáveis do modelo que influenciaram a prática religiosa das pessoas que cometeram delitos, antes de terem sido presas, foram: “harmonia familiar”, “tem filhos”, “religião católica” e “religião evangélica” – relação positiva; “ensino superior completo”, “amasiado”, “uso de bebida alcoólica” e “uso de drogas” – relação negativa. Este estudo de caso permite inferir que a pessoa religiosa praticante, com característica considerada dissuasória, não distinguiu valores ou princípios quando seu interesse financeiro prevaleceu em um ato ilegal.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".