Bibliographic record
Abstract
Abstract One of the most spectacular biological spectacles on the North American continent must be the annual migration of monarch butterflies. For eight months out of the year, beginning each spring, the winged wanderers spread out over two million square miles, from Minnesota to Maine, Manitoba to Mississippi, as generations lay eggs on milkweeds as they move northward. The caterpillars that emerge munch on their host plant, internalizing toxic cardenolides found in some milkweeds as a defense against birds, then form chrysalids to metamorphose into adult insects with orange wings which signal their poisonous nature. By autumn, most butterflies east of the Rocky Mountains, though not all, go southward to central Mexico, funneling down and overwintering at a mountainous location covering 0.015 percent of the area they occupied in the summer. At the Transverse Neovolcanic Belt, a mature forest of Oyamel fir and Montezuma pine provides an ideal microclimate for these hibernating monarchs—too cold and they freeze to death, too warm and they perish burning up their fat reserves. Come spring, after clustering on the trees for about four to five months, they begin the migratory cycle again. Before 1975, the monarch migration was basically a mystery. Canadians, Mexicans, and US residents had seen plenty of butterflies for centuries prior, but nobody understood the scope of this 2,800-mile journey until the late 20th century. Mexico’s Monarch Butterfly Biosphere Reserve, created by President Miguel de la Madrid in 1986, was limited in its ability to conserve overwintering forest land due to a commitment to austerity budgets after the Mexican debt crisis and the challenge of sustainable development for Mexican ejidos. Side accords to the North American Free Trade Agreement of 1994 promised greater cooperation among nation-states, but the loss of milkweed and nectar sources in the United States and Canada jeopardized trinational solidarity in conservation efforts. Debates over how to address illegal logging within the biosphere reserve divided those who favored surveillance and policing from those who advocated jobs and payments. Democratizing scientific knowledge first brought the monarch migration to the attention of the wider world, and democratizing income for conserved forests may offer a path to protecting it.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.039 | 0.002 |
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".