Quem Sou Eu, Onde Estou e Para Onde Vou! Uma Breve Análise do Programa Empreendendo Vidas – PEV
Bibliographic record
Abstract
Resumo Este artigo visa apresentar uma breve análise do Programa Empreendendo Vidas (PEV), que se apresenta como ferramenta para a população em situação de rua, uma vez que as mutações no mundo do trabalho, nos modos de produção, na economia e nas políticas sociais têm exigido aprimoramento para a construção e refinamento das políticas públicas. Em sua prática diária desenvolve uma metodologia comprometida com a cidadania, inclusão social e respeito à dignidade humana, visando à construção de uma sociedade mais justa e fraterna. Atua na construção de estratégias e ações para superação da situação de rua por meio da inserção no mundo do trabalho e geração de renda. Abstract This article aims to present a brief analysis of the Entrepreneurship Program (PEV), which presents itself as a tool for the homeless population, since changes in the world of work, in modes of production, in the economy and in policies social issues have required improvement for the construction and refinement of public policies. In his daily practice, he develops a methodology committed to citizenship, social inclusion, and respect for human dignity, aiming to build a more just and fraternal society. It works to build strategies and actions to overcome homelessness through integration into the world of work and income generation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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; a candidate call from one teacher head, 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".