Bibliographic record
Abstract
Este trabalho foi realizado no âmbito do IV Curso de Pos-Graduacao em Administracao Social, promovido pelo ISSS Lx, em 2003, na disciplina de Estado, Economia e Politica Social. Apresentamos a recensao bibliografica da primeira parte de um estudo apresentado no livro Global Civzl Society Dimensios if Nonprifit Sectot; de 1999, que resume os resultados de um ambicioso projecto concebido no sentido de clarificar a forca social que representam hoje no mundo inteiro, os milhares de centros comunitarios, clinicas de saude, escolas, centros de dia, organizacoes de defesa do ambiente, clubes sociais, associacoes profissionais, associacoes culturais e tantas outras diferentes entidades que formam o que se vem chamando de sociedade civil, terceiro sector ou sector nao lucrativa. Devido a extensao do estudo, que abrange vinte e dois paises de todo o mundo, apenas abordaremos a primeira parte, em que os autores analisam as finalidades, o tamanho, a estrutura e a fonte de financiamento do sector nao lucrativa de um modo geral, agrupando os paises por regioes do globo (Europa Ocidental, Europa Central e de Leste, Outros paises desenvolvidos e America Latina).
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 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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.009 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.025 | 0.002 |
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".