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Record W4411440680 · doi:10.1163/18758185-bja10107

What is Pragmatism’s Language and Experience Debate Really About?

2025· article· en· W4411440680 on OpenAlexaff
Brandon Beasley

Bibliographic record

VenueContemporary Pragmatism · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicPragmatism in Philosophy and Education
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPragmatismEpistemologySociologyPhilosophy

Abstract

fetched live from OpenAlex

Abstract One of contemporary pragmatism’s most lively intramural debates is about the status, priority, and emphasis that pragmatism should place on experience, on the one hand, versus language, on the other. Recently, an experientialist pragmatist has argued that the experience–language debate is not ‘really’ about issues of language and experience, but is rather a proxy for another issue: namely, pragmatism’s stance toward the practical world of everyday life and commitment to improving it. In other words, a commitment to meliorism . In this paper I argue that this strategy for cornering the linguistic pragmatist does not work, and that meliorism is not what the language versus experience debate is ‘really about’. First, I argue that the debate is not a proxy for a debate about meliorism, but rather is about exactly what it purports to be about: the place of language and experience in an account of the most basic features of what it is to be the kind of beings we are in the world in which we live. Second, I argue that one’s stance toward meliorism need not covary with whether one embraces either linguistic or experientialist pragmatism. Finally, I argue that to think that pragmatism must begin with meliorism is to put the cart before the horse. My aim is to clarify the import of the experience–language debate and direct the future of that debate back towards other, more fruitful paths recently opened up: those whose destination is overcoming the dichotomy by finding the right way to combine the best insights of both sides of the debate.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.662
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 studies0.0010.000
Scholarly communication0.0010.003
Open science0.0000.000
Research integrity0.0000.000
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 head0.028
GPT teacher head0.282
Teacher spread0.254 · 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.

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
Published2025
Admission routes1
Has abstractyes

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