Using the capability approach to analyze contemporary environmental governance challenges in coastal Brazil
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Conservation and development are often framed as a dichotomy, requiring trade-offs. But trade-offs can be due to the particular political situation and to relationships of domination, and are not necessarily the inevitable result of intractable situations. Amartya Sen’s capability approach, which centers on human development, has enjoyed increasing applications in the environment area, but little in the commons literature. This article applies the capability approach framework to analyze human development in Trindade, Brazil, by answering key questions that are central to this approach (1) What kind of lives are people able to live? Are they able to be or do what they have reason to value? and (2) What is the quality of economic, social and political relations in Trindade? Three main 'shocks' emerge: (a) Conflict with external commercial developers, (b) Paving of access road into community, and (c) Enforcement of protected area regulations on historical community land and sea space. Capability priorities were established for women, men, older adults, and people with disabilities. The impacts of development and conservation policies are different for the four groups, as are the priorities for capabilities. The case demonstrates that space for public participation is not sufficient to ensure that the people who are trying to improve their wellbeing, and be the author of their own lives, can influence the outcome. It also shows that regular contact through public participation does not necessarily create empathy, as Sen assumed in The Idea of Justice.
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.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 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 it