Extent and Drivers of Change of Neotropical Seasonally Dry Tropical Forests
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
Seasonally dry tropical forests (SDTFs) are considered one of the most endangered tropical ecosystems (Janzen 1988c). High degrees of degradation are reported, not only for the Neotropics, but also in the old tropics (Miles et al.2006). Causes and consequences of such degradation are known on a limited basis, and much needs to be learned in terms of gaining a full understanding of what controls environmental deterioration trends in these ecosystems and their impact on ecosystem services. Furthermore, current knowledge on the extent and degree of fragmentation of tropical dry forests is constrained because of the low priority for conservation within governmental and nongovernmental funding agencies. In general, the perception that tropical forests do not exist outside of the Amazon basin, or that high priority should be given to tropical rain forests, has limited the current body of scientific literature (Sánchez-Azofeifa et al. 2005).
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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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