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Record W4391193999 · doi:10.1515/9783839470268-014

10. This Time of Fires

2024· book-chapter· en· W4391193999 on OpenAlexaboutno aff

Bibliographic record

Venuetranscript Verlag eBooks · 2024
Typebook-chapter
Languageen
FieldArts and Humanities
TopicEcocriticism and Environmental Literature
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental scienceGeographyComputer science

Abstract

fetched live from OpenAlex

This Time of FiresWe have been labouring to think what community, what being-together, looks and feels like, whether unfinished, attentive relationships conjure the conditions for political possibilities: where no one has to administer each other, where no one has to belong, where no one gets asked for their papers.To be attentive to one another is to resist the work of the teleological, to be present and exposed in the everyday.That means being exposed to all of it, to all the unfamiliarities and incommensurableness and unfinishedness of being-together with people.And if we are working to extend friendship to the more-than-human, that means being exposed to all of it, to animals, insects, rivers, trees, fires and floods.We are as fond of cute animal videos and spectacular sunsets as the next urbanite, but the more-than-human world is turbulent and unpredictable and very often violent and stomach-churning.It's comfortable enough to be exposed or attentive to an animal or mountain hike, but in search of a sensibility, a mode of friendship, we went in search of wildfires.Fires are a regular feature of summers in the Pacific Northwest, but they have been accelerating in size and impact with global warming.We were curious about what being in close proximity to wildfires might do to our thinking, what it might disturb.We had written about fires in our previous book so we knew something of what we were heading for, but mostly went in blind this time, trying to learn how to be attentive.We drove north from Vancouver (xmkym, slilwta and Skwxw7mesh territories) up the Sea-to-Sky Highway, but as we drove,

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.883
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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.2050.009

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 head0.015
GPT teacher head0.173
Teacher spread0.158 · 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 designNot applicable
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

Citations0
Published2024
Admission routes1
Has abstractyes

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