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Record W7132891175

The Dearest Butterfly: A Nonlinear, yet Stratified, Human-butterfly Ethnography

2019· dissertation· W7132891175 on OpenAlexaboutno aff
Columba Gonzalez

Bibliographic record

VenueTSpace · 2019
Typedissertation
Language
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsnot available
Fundersnot available
KeywordsEthnographyIndigenousAssemblage (archaeology)PopulationButterflyJungleEveryday lifeBiospherePolitics
DOInot available

Abstract

fetched live from OpenAlex

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.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.082
Threshold uncertainty score0.162

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.005
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.043
GPT teacher head0.411
Teacher spread0.369 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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