Exploring the value of a BioBlitz as a biodiversity education tool in a post-secondary environment
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
Biodiversity education is widely considered a necessary component of protecting global biodiversity by helping to change harmful attitudes and actions. BioBlitz events, rapid surveys of all living things in a defined area over a set period, are becoming a widely used practice for biodiversity education. The aim of this study was to evaluate the use of a campus BioBlitz as a place-based experiential learning experience for early undergraduate science students by having students work alongside naturalist experts to build skills in species observation and identification using the iNaturalist app. We surveyed students about their perceptions of the BioBlitz experience. Eighty two percent of students agreed that the BioBlitz provided valuable hands-on learning, they valued learning outside of a traditional classroom, and felt they learned new knowledge about species identification. Many students reported a heightened sense of environmental stewardship and a positive sense of place on campus. We conclude with a discussion of the benefits of a campus BioBlitz in overcoming many of the emerging challenges associated with outdoor field-based education.Supplemental data for this article is available online at https://doi.org/10.1080/13504622.2021.1960953 .
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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 it