URBAN: Development of a Citizen Science Biomonitoring Program Based in Hamilton, Ontario, Canada
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
Due to increasing urbanization, wetlands and streams within city limits are being altered, filled in, and degraded. The habitat that remains is critical for providing urban areas with ecosystem services and maintaining biodiversity, yet is often insufficiently monitored by environmental agencies due to a lack of resources. To help fill this void, the Urban-Rural Biomonitoring and Assessment Network (URBAN) was developed as a citizen science education and outreach program for Hamilton, Ontario, Canada. Through this program, volunteers gain insight into the dynamics of biological systems, learn how to identify species, and may experience growth personally in terms of environmental stewardship or even career path decisions. The implementation and development of URBAN followed a nine-step model developed by the Cornell Lab of Ornithology. Here, we offer an overview of URBAN's development, successes, and challenges by utilizing this citizen science model as a guideline.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 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