The Dearest Butterfly: A Nonlinear, yet Stratified, Human-butterfly Ethnography
Bibliographic record
Abstract
This dissertation is a multi-sited and multi-species ethnography which follows the migration of the monarch butterfly across the East Coast of Canada and the United States to the Oyamel Forest of central Mexico. The project builds upon ethnographic research at four nodal locations for monarch conservation: Point Pelee National Park in Ontario, Canada; Monarch Lab in Minnesota, U.S.; The Monarch Butterfly Biosphere Reserve in Mexico; and an online community named DPlex-L. The thesis develops the concept of the “Dearest Butterfly” to index the emergence of a new way of valorizing this migratory insect after it entered international networks of species conservation and to navigate what I call a non-linear and stratified assemblage that exists around the aspirations of conserving this charismatic insect. Along with this proposition, I chronicle and utilize the monarch’s sharp population decline as a means to unearthing North America’s devastated socioecology. The thesis argues that the insect’s falling numbers are related to the outcomes of nature-extensive exploitation and displacement of indigenous forms of knowing nature at the sites of study. In a non-linear fashion, I connect these outcomes with NAFTA’s circulation of goods and new forms of human displacement from Mexico to its northern neighbors to argue that protecting this tri-national butterfly was part of a plan to consolidate the North American region as an economic block that prizes mobilities of goods even while it seeks to prevent the movement of people, and, ironically, of monarchs. The thesis engages with the field of Science and Technology Studies by describing the everyday tensions of rendering the iconic monarch as a working and captive insect in the laboratory in order to conserve it. From the introduction Pendant Egg to the conclusion chapter Egg Under Review, I maintain that thinking with monarchs and their exceptional life cycle achieves a twofold outcome for anthropological research: it approaches the devastated monarch migratory corridor as an ecological, social, and technological assemblage; and it investigates existent cooperative and often uncooperative relations to critique this crisis, and hopefully re-vitalize it through a proposition of an ecosophy for migrating humans and nonhumans of North America.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".