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Record W4389151490 · doi:10.1007/978-3-031-35430-4_20

In Conversation with Isabelle Stengers: Ontological Politics in Catastrophic Times

2023· book-chapter· en· W4389151490 on OpenAlexaff
Isabelle Stengers, Marc Higgins, Maria F. G. Wallace

Bibliographic record

VenuePalgrave studies in education and the environment · 2023
Typebook-chapter
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsConversationScientific revolutionScholarshipPoliticsEpistemologyAnthropoceneSociologyPhilosophyEnvironmental ethicsPolitical scienceLaw

Abstract

fetched live from OpenAlex

Abstract In this conversation, Isabelle Stengers elucidates upon the ontological politics of scientific practice in this contemporary moment to remind us that another science is possible. Drawing from her own rich scholarship of sociology, history, and philosophy of science, Stengers makes the case that the scientific enterprise has been caught up since the scientific revolution in a practice of fast science which is premised on a particular kind of irresponsibility which has consequences for these catastrophic times. In turn, she calls for a slow science, one which is premised on redeveloping the art of paying attention to that which has historically and too easily bracketed out as “non-scientific” concerns. Not unlike the intrusion of Gaia, which Stengers offers as a critical alternative to the concept of the Anthropocene, slow science is an insistent stranger who can no longer be ignored, whose presence increasingly provides a productive irritation. Further, another science is not only possible, it is necessary: Stengers offers that it might be what is necessary to go beyond just surviving in the ruins.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.835
Threshold uncertainty score0.994

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 studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.043
GPT teacher head0.321
Teacher spread0.278 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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
Published2023
Admission routes1
Has abstractyes

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