Canadian Museum for Human Rights: Uma oportunidade para o aprendizado de ética
Bibliographic record
Abstract
Diante das dificuldades e dos desafios para a promoção da humanização no contexto educacional, podemos perceber a relevância de espaços educativos não formais, como museus, já que possuem o potencial de sensibilizar e aprofundar a formação integral do cidadão, por meio de uma abordagem interdisciplinar e transdisciplinar dos conteúdos escolares. Neste trabalho, objetivamos a apresentação do único museu de direitos humanos do Canadá, e apresentamos, a partir de uma pesquisa qualitativa, descritiva e interpretativa, como determinadas estratégias e atividades podem ser aproveitadas para ensinar ética, sobretudo no contexto educacional brasileiro. Por fim, discutimos características desse museu que contribuem para a melhoria da qualidade da educação, visando a formação de sujeitos capazes de agir em prol de maior sustentabilidade e justiça socioambiental.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".