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Record W4212883480 · doi:10.1080/25729861.2021.1973290

Worlding the end: A story of colonial and scientific anxieties over beavers' vitalities in the Castorcene

2021· article· en· W4212883480 on OpenAlexaboutno aff
Mara Dicenta, Gonzalo Correa

Bibliographic record

VenueTapuya Latin American Science Technology and Society · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicEcology and biodiversity studies
Canadian institutionsnot available
Fundersnot available
KeywordsBeaverAnthropoceneColonialismDeep timeEnd of historyEnvironmental ethicsExtinction (optical mineralogy)EthnologyHistorySociologyEcologyArchaeologyPoliticsPhilosophyPolitical scienceBiologyPaleontologyLaw

Abstract

fetched live from OpenAlex

This article examines a technoscientific project for eradicating the North American beaver in Tierra del Fuego (TDF), an austral region known as “The End of the World.” Introduced from Canada into TDF in 1946 to promote a fur industry, beavers are today classified as an alien and invasive species that severely threatens the pristine native ecosystems of TDF. We analyze the environmental history of beavers in TDF to explore the many partial losses that have shaped beaver-human relations across hemispheres. We argue that various ends of the world have mediated different technoscientific responses to beavers’ vitalities, reflecting multiple forms of human anxiety over loss and extinction. Thinking with the beavers and their environmental history in TDF, we explore the “Castorcene” as the human anxiety that emerges from beavers' vitalities. As an analytical concept, the Castorcene de-universalizes the Anthropocene, decolonizes extinction horizons, displaces human exceptionalism, and situates and singularizes imaginaries of the end of the world.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.104
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0020.037
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.008
GPT teacher head0.223
Teacher spread0.215 · 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; both teacher heads agree on what is shown here.

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

Citations7
Published2021
Admission routes1
Has abstractyes

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