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Record W4404708957 · doi:10.1215/22011919-11327396

The Many Care Worlds a Butterfly Crosses

2024· article· en· W4404708957 on OpenAlexfundaboutno aff
Columba González‐Duarte

Bibliographic record

VenueEnvironmental Humanities · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicAnthropological Studies and Insights
Canadian institutionsnot available
FundersUniversity of TorontoConsejo Nacional de Ciencia y TecnologíaUniversity of Cambridge
KeywordsButterflyHistoryGeographyBiologyEcology

Abstract

fetched live from OpenAlex

Abstract This article explores the theme of heroes and villains in relation to the conservation of the North American monarch butterfly. The monarch butterfly is a migratory insect that performs an annual four-thousand-kilometer journey across Canada, the United States, and Mexico. Through its travels, the at-risk insect connects and disconnects humans, revealing tensions between the different actors participating in its survival across its North-South geographies. In the North, conservation relies on the voluntary care work of butterfly amateurs who recreate monarch habitat, rear and care for the insect at home, and contribute economically and affectively to habitat protection. In the South, the conservation model is experienced by Indigenous and mestizo communities as a top-down imposition restricting their traditional livelihoods. Residents of the Monarch Butterfly Biosphere Reserve contest their framing as nature trespassers, while they carry the political, affective, and physical labor of conserving a disappearing insect. They too care for this butterfly but with an emphasis on its forest relations. Based on ethnographic data collected among these two often-opposed conservation communities, this article explores the ontological questions raised by these hero and villain dynamics around radically different ideas of what caring for this butterfly means. The exploration of one insect and two care worlds intersects with the “one planet, many worlds” debate in a colonial context. By examining the tensions between these opposed care worlds, the essay illustrates how a disappearing butterfly constitutes and confronts distinct perceptions of the urgency of caring for nature.

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)0.002
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 score0.027
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0130.038
Scholarly communication0.0060.006
Open science0.0010.006
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.024
GPT teacher head0.283
Teacher spread0.259 · 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

Citations1
Published2024
Admission routes2
Has abstractyes

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