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Record W4318831394 · doi:10.18192/cjcs.vi10.6616

The Claim of Reason in a Planetary Age

2023· article· en· W4318831394 on OpenAlexvenueno aff
Brad Tabas

Bibliographic record

VenueConversations The Journal of Cavellian Studies · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicPhilosophy and History of Science
Canadian institutionsnot available
Fundersnot available
KeywordsAnthropoceneEpistemologyRationalityContext (archaeology)Relevance (law)PhilosophyExegesisHistory and philosophy of sciencePhilosophy of scienceHistoryEnvironmental ethicsLawArchaeologyTheology

Abstract

fetched live from OpenAlex

This essay is a creative inheritance destined for a volume celebrating the ongoing relevance of Thomas Kuhn and Stanley Cavell. But if it is inspired by, and converses with them, it is neither a reconstruction of their conversations nor a textual exegesis, but an attempt to reflect critically on the rationality of Earthlings in the Anthropocene while drawing orientation from Kuhn and Cavell. Arguably, such philosophical modernism is in spirit intensely Cavellian. Pursuing Emersonian self-reliance, this paper aims to make “philosophy yet another kind of problem for itself.” Therefore, this text is not Kuhnian. It couldn’t be — Kuhn claimed that his “vocation” was to be a “historian of science,” a member of the “American Historical, not the American Philosophical, Association.” But in its concern with science and history, and above all in its acceptance that our current historical context, the Anthropocene, cannot be thought outside of paradigmatic shifts within the history of science, notably the development of planetary science as a comparative and thus inter- planetary model for understanding our own terrestrial condition, what follows is Kuhnian.

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)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0080.056
Scholarly communication0.0080.012
Open science0.0010.004
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0050.001

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 head0.130
GPT teacher head0.288
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; 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 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

Citations0
Published2023
Admission routes1
Has abstractyes

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