Facing Bird Conservation in Conflicted Communal Lands: A Participatory Experience Towards the Sierra Madre Sparrow Habitat Conservation
Bibliographic record
Abstract
"Despite bird conservation efforts in Mexico, local communities living around or in these important bird areas are generally not aware of the existence of threatened species and the vulnerability of supporting habitat. Although there is recognition of the socioeconomic needs of communities living around or in these important bird areas, to date, only education and outreach activities have been considered in the framework of bird conservatio (NABCI, 2002). Bird conservation involving analysis of local realities, with specific cultural contexts, economic needs and even particular political frameworks, are at best, in the experimental stage (see Escalante et al. 1998 and Herkenrath, 2002). \n \n "This research confronts this reality by addressing concerns over a bird species threatened with extinction, the Sierra Madre Sparrow (SMS) (Xenospiza baileyi), a species endemic to Mexico (Picture 1).... \n \n "In this paper we describe the process of people participation oriented to the local grasslands conservation (the SMSs habitat), addressing main successes and barriers influencing the process and conciliating scientific and local concerns. We also present the resultant information derived from this process to document particularly the traditional knowledge in grasses, grassland management practices, with emphasis on historical and recent practices (e.g., use of fire, grazing areas) and main problems occurring in the grasslands related to land tenure, land use and land change."
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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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.017 | 0.008 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".