Land Cover in Alaska, 2010-2011
Bibliographic record
Abstract
This dataset is a subset of the North American Land Change Monitoring System (NALCMS) Land Cover 30-meter dataset. The original dataset provides land cover information for 2010 (Mexico to Canada) and 2011 (United States) and is a collaboration between the USGS in the United States, the CCRS in Canada, and CONABIO, INEGI, and CONAFOR in Mexico. The dataset archived here clips NALCMS land cover to the state of Alaska and adjacent regions for the State of Alaska Salmon and People (SASAP) project. Several steps were taken to preprocess this data: Alaska boundaries were manually selected and clipped to the nearest pixel to avoid resampling and degrading raster data, and this clipped data was reprojected in the Alaska Albers (EPSG 3338) projection. This dataset is a more size-efficient version of NALCMS data for use in SASAP study areas. The original NALCMS data is available here: https://catalog.data.gov/dataset/north-american-land-change-monitoring-system-nalcms-collection.
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.
How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 0.045 |
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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".