Ser e Parecer “Patricinha”: família, amigos e identidade na adolescência
Bibliographic record
Abstract
Baseado em pesquisa realizada com mais de 100 adolescentes de camadas médias e altas da Zona Sul do Rio de Janeiro, este artigo tem por objetivo discutir as configurações sociais que determinam os novos papéis da família, dos amigos e da indústria cultural na construção da noção de adolescência e das identiÜades entre os indivíduos que vivem esta fase da vida. A partir dos resultados da pesquisa quantitativa e das entrevistas pessoais realizadas, é feita uma reflexão sobre as representações na adolescência e sua contribuição para as formas de classificação que se estabelecem nas relações sociais. Entre outras questões, é destacada a categoria de acusação “patricinhas”. Palavras-chave: adolescência, família, gênero. Abstract: Based on a research realized with more than 100 middle and high classes teenagers from South Zone of Rio de Janeiro, this article objectives to discuss the social configurations that determine the new role of family, friends and cultural industry on the construction of the notion of adolescence and the identities among the ones who live this phase of life. From the results of the quantitative research and the personal interviews realized, we make a reflection about the representations in adolescence and their contributions to the classification forms the are present in the social relations. Among other ìuestions, it is focused the accusation category “patricinhas”. Key words: adolescence, family, gender.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 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".