Maderas Rainforest Conservancy: A One Health approach to conservation
Bibliographic record
Abstract
Maderas Rainforest Conservancy (MRC) was incorporated as a conservation nonprofit organization in 2008, and manages two sites where biological field courses have been offered since the 1990s: La Suerte Biological Research Station in Costa Rica, and Ometepe Biological Research Station in Nicaragua. MRC employs a One Health approach to conservation education, and can serve as a model for other biological field sites. The Nicaraguan Molina family, who owns the sites, partnered with primatologist Paul Garber in 1994 to develop a primate field course aimed at introducing university students to field research. Through using their land to further conservation education and research, the Molina family has preserved the forest and engaged the local communities near their sites. Eight graduate theses and 46 refereed publications have been completed since 2010 based on research undertaken at MRC sites. While primate field courses have been offered at least once annually since 1994 and remain popular, a range of other ecological courses are now additionally offered. MRC operates from a One Health perspective, engaging in forest restoration and ecological monitoring projects, and has gradually expanded community outreach initiatives. MRC now conducts regular medical and veterinary missions in the communities surrounding the research stations which provide health care to local people and limit the population growth of domestic animals, thereby increasing the survival of wild animals. MRC is also active in ESL-teaching and conservation education, and funds Proyecto Jade, which empowers local women to make and sell organic jewelry. Through these programs, MRC works to help the local communities live more sustainably with the environment around them. MRC's support of research, commitment to education, medical and veterinary missions, and outreach initiatives to the local community all work together for the well-being of both the people and the environment, thus exemplifying the One Health perspective.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".