The Value of Local Farms for Insect Conservation: Local Teaching Opportunities
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
EVEN FARMS THAT SEEM TO LACK SUCH SPECIALIZED REGIONS PROVIDE UNIQUE HABITATS FOR INSECTS AND OTHER WILDLIFE. Farmland creates unique conservation challenges, including opportunities to increase biodiversity (Schieltz and Rubenstein 2016). Studies of local and small-scale farm systems are urgently needed, or the opportunity to understand the biodiversity of these areas will be lost. Increasingly, producers are under pressure to remove fencerows and hedges, install drainage tiles, and bring more land into production. Our study provides an example of the importance of studying small, overlooked farm habitats using simple, readily accessible methods and student help. Entomological field work is often taught using examples from our experiences working in exotic locations. Although these experiences can be fascinating, we wondered if such stories might convey a false impression that conservation is only important for wildlife in distant, fragile landscapes. Conservation is also very important at the local level. The goal of our project was to act according to this conviction, and to show that new or exciting data such as new distribution records could be found at a local farm close to the city.
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.
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 | 0.002 |
| 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 it