Terrestrial Protected Areas in Chilean Patagonia: Characterization, Historical Evolution, and Management
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
Chile's Patagonian region houses globally unique ecosystems whose conservation has been addressed principally through the National Protected Areas System (in Spanish SNASPE). In order to improve understanding of the region's current level of protection, we analyze the history, coverage, and management status of legally protected areas. Patagonia's SNASPE accounts for a high percentage of the total land under protection in Chile, and includes archipelagos, fjords, channels, glaciers, icefields, and large areas of globally unique and highly intact forests. Management of the National System of State Wild Protected areas by the National Forestry Corporation has advanced substantially over the last century. Nonetheless, Areas our evaluation, which was carried out using official data, indicates the persistence of important limitations in almost all protected areas evaluated. There is a need to strengthen institutional capacities in order to overcome historic problems and raise levels of management. We present recommendations that highlight the importance of strengthening the legal framework, as well as the need to bring planning up to date, and improve management inputs through public policies that address gaps in funding.
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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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