Identification of priority habitats for conservation of the Sierra Madre sparrow <i>Xenospiza baileyi</i> in Mexico
Bibliographic record
Abstract
The Sierra Madre sparrow Xenospiza baileyi, categorized as Endangered on the IUCN Red List, is endemic to Mexico. The subalpine bunch grasslands of the Transverse Volcanic Belt in the south of the Valley of Mexico are the last remaining habitat of this species. We conducted a detailed survey for the Sierra Madre sparrow using the point count method, and then described the species' habitat using a phytosociological approach. The two sets of information were pooled into a single analytical framework to identify priority habitats for the species. Eight vegetation communities were distinguished. The Festuca lugens-Muhlenbergia quadridentata and Stipa ichu bunch grassland communities had the highest densities of the Sierra Madre sparrow. Intensive burning and grazing activities and agricultural encroachment have restricted sparrow occupancy. Landscape analysis helped to delineate core grassland areas for the species and grassland strips and islands that could potentially act as habitat corridors. From the information generated in this study, which was shared with the local communities, we are establishing a participatory socio-ecological investigation for conservation of the Sierra Madre sparrow's habitat.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".