Ética, responsabilidade social e serviço social: Um imperativo de educação para a cidadania
Bibliographic record
Abstract
EnglishThis Communication seeks to situate the concept of social responsibility in the social work domain, based on theoretical approaches to ethics and with reference to the challenges of the Global Agenda. The construction and analysis of conceptual maps supports the discussion of the relevance of an education strategy for citizenship in building the practice of social work. The results of this analysis reinforce the potential of educational strategies for citizenship in the development of an authentic practice in social work. An education strategy for citizenship can support the authenticity of the practice of social work, but also allows the systematization of implications for the initial training of social workers. francaisCette communication vise a situer le concept de responsabilite sociale dans la matrice du travail social, fonde sur des approches theoriques de l’ethique et en reference aux defis de l’Agenda Global. On utilise la construction et l’exploitation des cartes conceptuelles pour discuter la pertinence d’une strategie d’education a la citoyennete dans la construction de la pratique du travail social. Les resultats de cette analyse affirment le potentiel des strategies d’education a la citoyennete dans le developpement d’une pratique authentique dans le travail social. Une strategie d’education a la citoyennete pourrait soutenir l’authenticite de la pratique du travail social et aussi systematiser les implications pour la formation initiale des travailleurs sociaux. portuguesEsta comunicacao procura situar o conceito de responsabilidade social na matriz do Servico Social, com base nas abordagens teoricas da etica e tendo como referencia os desafios colocados pela Agenda Global. Procura-se, atraves da construcao e exploracao de mapas conceptuais discutir a relevância de uma estrategia de educacao para a cidadania na construcao da pratica do Servico Social. Os resultados desta analise reforcam o potencial das estrategias de educacao para a cidadania no desenvolvimento de uma pratica autentica no Servico Social. Este trabalho permite concluir que uma estrategia de educacao para a cidadania podera apoiar a autenticidade da pratica do servico social, bem como sistematizar implicacoes para a formacao inicial dos assistentes sociais.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.011 | 0.007 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 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 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".