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Record W3199877200 · doi:10.1111/phpr.12840

Banks, Bosses, and Bears: A Pragmatist Argument Against Encroachment

2021· article· en· W3199877200 on OpenAlexafffund
Stephanie Leary

Bibliographic record

VenuePhilosophy and Phenomenological Research · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicEpistemology, Ethics, and Metaphysics
Canadian institutionsMcGill University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPragmatismEpistemologyArgument (complex analysis)NormativeDoxastic logicPhilosophyAffect (linguistics)AdmirationOrder (exchange)PsychologySocial psychologyEconomics

Abstract

fetched live from OpenAlex

Abstract The pragmatism—anti‐pragmatism debate concerns whether practical considerations can constitute genuinely normative wrong‐kind reasons (WKRs) for and against doxastic attitudes, whereas the encroachment—anti‐encroachment debate concerns whether practical considerations can affect what right‐kind reasons (RKRs) one has or needs to have in order to enjoy some epistemic status. While these are two separate issues, my main aim is to show that pragmatists have a plausible debunking explanation to offer of encroachment cases: that the practical considerations in these cases only generate WKRs against belief, rather than affect the RKRs one has or needs to have, so that the agents in these cases ought to withhold belief, but only in a practical or all‐things‐considered sense. Moreover, I argue that the pragmatist debunker's explanation of what's going on in encroachment cases is more plausible than the encroacher's because they're structurally identical to cases involving WKRs against other attitudes like admiration and fear. These analogous WKR‐cases not only support the surprising conclusion that pragmatists should be anti‐encroachers, but they also challenge the encroacher's view independently of whether pragmatism is true.

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 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 score0.893
Threshold uncertainty score0.729

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.270
GPT teacher head0.366
Teacher spread0.096 · 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

Citations23
Published2021
Admission routes2
Has abstractyes

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