A EDUCAÇÃO AMBIENTAL ATRAVÉS DO TURISMO PEDAGÓGICO
Bibliographic record
Abstract
Atividades como viagens de estudos e visitas guiadas mostram-se efetivas ao despertar a atenção das pessoas para os problemas decorrentes da degradação do meio ambiente. Neste sentido, o turismo pedagógico, integrando educação e conservação da Natureza, parece ser uma estratégia positiva e capaz de contribuir para a transformação do sujeito a partir da sensibilização para as questões ambientais. Considerando este contexto, o trabalho tem como objetivo apresentar algumas propostas educativas resultantes de um projeto de turismo pedagógico que visou incorporar a educação ambiental em suas práticas. As ações ocorreram entre 2014 e 2017 na sede do Centro de Estudos Ambientais Eco-Terrenão, no município de Glorinha, Rio Grande do Sul. O turismo pedagógico pode, de fato, complementar a educação ambiental ao promover a integração do sujeito com a natureza, através do reconhecimento do meio e da percepção ambiental.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.008 |
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; both teacher heads agree on what is shown here.
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".