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Record W7125393816 · doi:10.48512/xcv8490495

Tied mobilities: An Ethnography of Human-Butterfly Migration in North America (WGF - Hunt Postdoctoral Fellowship)

2023· article· en· W7125393816 on OpenAlexaboutno aff
Columba González-Duarte

Bibliographic record

VenueThe Digital Archeological Record (tDAR) · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental and Cultural Studies in Latin America and Beyond
Canadian institutionsnot available
Fundersnot available
KeywordsEthnographyIndigenousPleaVariety (cybernetics)PoliticsAnthropoceneWork (physics)EPIC

Abstract

fetched live from OpenAlex

This resource is an application for a Hunt Postdoctoral Fellowship from the Wenner-Gren Foundation. The iconic Monarch butterfly, known for its epic North-South migration, is today in decline despite numerous efforts to protect it. Thinking with the Monarch, this book provides new insight into this phenomenon, arguing that human-monarch relations can help us reimagine North American politics amidst urgent ecological and social challenges. Based on a two-year multi-sited ethnography that tracked the butterfly along its migratory journey through Canada, the United States, and Mexico, the volume claims that the Monarch crisis results from a North-South economic bloc that has deepened the exploitation of both people and non-human nature. It does so by revealing associations between actors and events that are often viewed as disconnected, such as Monarchs and Mexican migrants, Indigenous displacement and milkweed disappearance, and conservation and communication technologies. Exploring the variety of human and non-human actors and knowledge and affects that have ‘co-produced’ past and present North America, the book reconceptualizes the Monarch and the continent itself. This approach advances work on multispecies ethnography and decolonization, as well as recent debates on the Anthropocene and multispecies care. The book concludes with a plea for a new ecological philosophy that can support more just outcomes for North America’s humans and nonhumans alike.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.160
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.032
GPT teacher head0.273
Teacher spread0.240 · 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 teacher head, not a consensus.

Study designObservational
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
Published2023
Admission routes1
Has abstractyes

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