Conservation education initiatives for elementary school students at La Suerte Biological Research Station, Costa Rica
Bibliographic record
Abstract
Maderas Rainforest Conservancy (MRC) is a conservation non-profit organization that protects forests, offers primate field schools, and leads community outreach initiatives at sites in Central America, including La Suerte Biological Research Station (LSBRS) in Costa Rica. In 2018, MRC started Aula Verde, a conservation education initiative for elementary school students aged 5-12 at LSBRS. Groups of children from elementary schools and communities located within 50 km have visited LSBRS from 2018-2023 to participate in the 1.5-2 hour Aula Verde workshop, which consists of (1) an interactive lecture on conservation, (2) a guided forest walk, and (3) a snack, gift bag, and tree seedling for each participant. Workshops are funded by international donations to MRC and cost US $8-16 per student. Aula Verde has been successful, with multiple schools and communities making repeat visits, students' families beginning to recycle their garbage and joining a WhatsApp group about conservation education that MRC staff initiated and lead, and teachers reporting improved learning outcomes for students who participate in the workshops. The success of Aula Verde is largely due to the ecological expertise and strong community ties of LSBRS staff. While the COVID-19 pandemic decreased Aula Verde offerings from 2020-2023, we expect workshops to resume at full capacity in 2024. In the future, MRC hopes to expand Aula Verde's outreach to all children aged 5-12 living within 50 km of LSBRS.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.029 | 0.003 |
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".