Diretrizes para apresentação de dissertações e teses da USP: parte III (ISO) 2.ed
Bibliographic record
Abstract
O Sistema Integrado de Bibliotecas da Universidade de São Paulo – SIBi/USP, dentre suas propostas voltadas à padronização dos trabalhos científicos, publica trabalhos no sentido de orientar os alunos de pós-graduação na elaboração de suas teses e dissertações geradas na Universidade. Neste sentido, dando sequência a este trabalho, traz a público a atualização das “Diretrizes para apresentação de dissertações e teses da USP: documento eletrônico e impresso”. Para facilitar a consulta às normas o Grupo responsável pela atualização elaborou o trabalho em quatro partes, cada parte enfocando uma norma específica: Parte I (ABNT – Associação Brasileira de Normas Técnicas), Parte II (APA – American Psychological Association), Parte III (ISO – International Organization for Standardization) e Parte IV (Vancouver). Este documento apresenta a 2ª edição revisada das Diretrizes publicada em 2009, de acordo com a norma ISO atualizada.
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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 | 0.066 | 0.091 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.014 | 0.015 |
| Science and technology studies | 0.005 | 0.009 |
| Scholarly communication | 0.017 | 0.009 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.016 | 0.021 |
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".