(Re)Possessing the Commons: Genealogies, Ancestral Tribal Lands and Conservation in Solomon Islands
Bibliographic record
Abstract
"The embeddedness of ENGOs in the nature/society binary is clearly visible in the ways in which they attempt to enrol local communities in conventional environmental discourses. This is evident in a recent (and ongoing) conservation project in Makira, Solomon Islands. Using this project as an example, I want to show how this particular project to create a protected area - an attempt to materially separate nature and human society was unable to disengage local understandings of socio-natural spaces and was forced to alter its underlying assumptions. In the end, the project on Makira is an example of how conservation (particularly biodiversity conservation) is inevitably a socio-natural project. This paper draws on recent critical work in geography and other disciplines that challenge the understanding of nature and human society as ontologically and abstractly separate.... \n \n "...To show how the Makira conservation project fails to dislodge the interwoven social and natural processes, I examine how genealogy, used as a method to identify 'appropriate' stakeholders (those with customary land right), enabled local villagers to (re)claim not only their rights to the forest commons but to also articulate an understanding of the forest as a socionatural space. To begin, however, I give a brief overview of Makira and the conservation project. Then I discuss the ways in which the project sought to reinforce nature and human society as separate and competing, and how the use of genealogy and the emergent discourses of socio-nature that led to a (re) claiming of the commons and a hybrid, socio- natural project."
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 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".