Bibliographic record
Abstract
Distributed by Collective Eye Films, 1315 SE 20th Ave. #3, Portland OR 97214; 971-236-2056Produced by Fraser Jones, Jillian Bass, Salathiel Lopez Campos, Trevor May, and Kevin WallDirected by Fraser Jones2021, Streaming, 72 mins The remarkable migration of the monarch butterfly from the northeastern United States to central Mexico has entranced many a filmmaker; WorldCat indexes over 100 such films. In a new entry to the genre Where the Butterflies Go director and lead Fraser Jones documents his quest to educate the “world” about this fascinating species as he follows the monarch butterflies' migration from Canada to Mexico. Along the way, he interviews several monarch butterfly enthusiasts and scholars, such as a volunteer at a monarch butterfly sanctuary in Illinois, the director of Monarch Watch at the University of Kansas, and a biology professor from Oklahoma State University. The interviews are informative and discuss topics such as global warming and the role of pollinators in our ecosystem. Another segment highlights a visit to a citizen science event in Ontario, Canada where we see how monarch butterflies are tagged with an electronic chip to track their migration. The last interview of the film is a lovely segment with a park manager at the Sierra Chincua Sanctuary in Mexico, where we finally see the monarch butterfly in the wild. It’s hard not to be charmed by the earnest and enthusiastic energy of the protagonist in this film, especially when he shares that he was inspired to be a nature educator by the late Steve Irwin. The film is strongest when he engages with his interview subjects, kids and adults alike. But there are times when the film veers into the absurd with the behind-the-scenes footage, which does not add to the main story. The personal reflections shared by Jones are touching, but it is a difficult task to sync that narrative with the educational focus of the film, and unfortunately the film fails on this point. The film might be best used to illustrate the importance of citizen science in supporting local ecosystems. It is recommended for students in high school and above.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.282 | 0.064 |
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".