Vegetation and land use 2009: Monarch Butterfly Biosphere Reserve, Mexico
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
Abstract Please click here to download the map associated with this article. The Monarch Butterfly Biosphere Reserve in Mexico, with an area of 56,259 hectares, is one of the most important protected natural areas in the world; each year there arrives in its fir forests (Abies religiosa) a remarkable migratory insect, the Monarch butterfly (Danaus plexippus L.), which sets out from southern Canada and the northern USA on a journey of more than 4,000 km. The vegetation and land use of the reserve has been mapped by photo-interpretation of digital aerial photographs from February 2009 with a spatial resolution of 40 cm per pixel. The photographs were printed at a scale of 1:10000 and interpreted using the conventional techniques of photo-interpretation. The plant communities were confirmed by field surveys and digitized on screen, at an average scale 1:5,000, by means of direct comparison of photographic elements within an ortho-corrected mosaic from 2003 and the interpreted photographs from 2009. Classification of the categories of vegetation and land use, both during photo-interpretation and for the composition of the final map legend, was based on the national forest inventory of Mexico, 2000. This method, using digital aerial photographs and combining techniques of photo-interpretation and geographic information systems, has allowed the production of a detailed map.
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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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