Vegetation change and conservation status of Coastal Upland Swamps
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
Summary Coastal Upland Swamp communities are characterized by high biodiversity and provide habitat for a range of threatened flora and fauna. In this research project, we are monitoring swamp vegetation dynamics over decadal timescales and relating observed changes to environmental factors. We have also modelled potential effects of climate change on swamp distributions. We found that swamp communities are spatially dynamic, both internally and in relation to the woodland matrix. Transitions between communities depended on initial states. In addition, these water‐dependent communities appeared highly sensitive to projected climate change and their ‘Endangered’ status makes their active management a high priority. Improved understanding of dynamics at the community and landscape scale facilitates horizon scanning and improves our capacity to plan effective management interventions now and under future management and climate change scenarios.
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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 | 0.000 | 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