Do We All Speak the Same Language When Talking Conservation? Caiçara Understandings of Conservation in their Landscape
Bibliographic record
Abstract
Based on their world view, indigenous and local communities may have their own concepts of conservation, which may be different from Western ideas of conservation. Here we report the results of a photovoice study with a Caiçara community in the Juatinga Ecological Reserve, a protected area in the Brazilian Atlantic Forest region. Participants were asked to take photos of their landscape/seascape to illustrate what they understand as conservation. Photos produced by the participants served as 'boundary objects' that helped to evoke feelings, ideas, and thoughts of people-nature relationships during individual interviews, and finally during a group discussion. The results helped to explore ways to frame a Caiçara concept of conservation and highlight the importance of developing place-based conservation projects and approaches meaningful for Caiçara people. Such initiatives can help in understanding Caiçara motivations for conservation, aid partnership-building, and promote knowledge co-production between community, government managers and other stakeholders.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.012 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| 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".