O DESENVOLVIMENTO DO SENTIMENTO DE PERTENCIMENTO AO MEIO AMBIENTE: ESTADO DA ARTE
Bibliographic record
Abstract
As interações do homem com a natureza, sua percepção acerca desta e como esse relacionamento ocorre necessitam ser melhor entendidas a fim de melhor informar estratégias de desenvolvimento sustentável. O artigo apresenta as discussões acerca do sentimento de pertencimento e apego e as relações destes com o meio ambiente. Procurou-se estabelecer as referências teóricas sobre o sentimento de pertencimento ao meio ambiente, os princípios de pertencimento em geral e ao meio ambiente. Foram consultadas as bases de dados da CAPES, Scopus e SciELO. Os resultados mostram que as concepções acerca dos sentimentos de pertencimento podem ser empregadas como meio de análise em qualquer tipo de meio ambiente e não somente relacionados aos espaços verdes. Constatou-se, ainda, que o sentimento de pertencimento das pessoas ao meio ambiente ainda é um tema pouco explorado, principalmente em relação aos espaços verdes urbanos.
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 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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".