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Record W4387956695 · doi:10.1007/978-3-031-39500-0_1

Staying Proximate

2023· book-chapter· en· W4387956695 on OpenAlexaff
Outi Rantala, Veera Kinnunen, Emily Höckert, Bryan S. R. Grimwood, Chris E. Hurst, Gunnar Þór Jóhannesson, Salla Jutila, Carina Ren, Michela J. Stinson, Anu Valtonen, Joonas Vola

Bibliographic record

VenueArctic encounters · 2023
Typebook-chapter
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsUniversity of Waterloo
FundersAcademy of Finland
KeywordsThe ImaginaryAnthropoceneIndigenousDistancingOpenness to experienceSociologyEnvironmental ethicsEpistemologyEcologyPsychologySocial psychologyCoronavirus disease 2019 (COVID-19)PsychoanalysisPhilosophy

Abstract

fetched live from OpenAlex

Abstract The introductory chapter ‘Staying proximate’ welcomes the reader to stay with more-than-human relations in present times of ecological crisis, known as the age of the Anthropocene. The chapter joins feminist, postcolonial, and Indigenous environmental scholars’ call for more nuanced alternatives to the Anthropocenic imaginary, ones that attend to the multiplicity, difference, and uneven distribution of more-than-human responsibilities, vulnerabilities, and sufferings in the world. We seek alternatives to the distancing, generalising, and even apocalyptic imaginaries of the Anthropocene by engaging with mundane beings, relations, and places in the north. By gathering around uncomfortable concerns, we develop modes of proximity as affirmative entry points underlining the commitment to stay with the trouble in caring, sensitive, and thoughtful ways. We suggest openness, affinity, engagement, irritation, middleness, and scopic modes of attuning to and engaging with more-than-human worlds. It is these modes of attuning to our proximate relations that provide a radical standpoint of proximity that intensifies, enriches, and complicates our research inquiries in such times of all-encompassing ecological turmoil.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.833
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
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.003

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 head0.317
Teacher spread0.274 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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

Citations2
Published2023
Admission routes1
Has abstractyes

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