Mediating Forest Transitions: ′Grand Design′ or ′Muddling Through′
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
"Present biodiversity conservation programmes in the remaining extensive forest blocks of the humid trop??ics are failing to achieve outcomes that will be viable in the medium to long term. Too much emphasis is given to what we term 'grand design'-ambitious and idealistic plans for conservation. Such plans im??plicitly oppose or restrict development and often attempt to block it by speculatively establishing paper parks. Insufficient recognition is given to the inevitable long term pressures for conversion to other land uses and to the weakness of local constituencies for conservation. Conservation institutions must build their capacity to engage with the process of change. They must constantly adapt to deal with a continuously unfolding set of challenges, opportunities and changing societal needs. This can be achieved by long term on-the-ground engagement and 'muddling through'. The range of conservation options must be enlarged to give more attention to biodiversity in managed landscapes and to mosaics composed of areas with dif??fering intensities of use. The challenge is to build the human capacity and institutions to achieve this."
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 | 0.000 | 0.000 |
| 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 | 0.000 | 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