MétaCan
Menu
Back to cohort
Record W2737099530 · doi:10.1111/jaac.12348

Descriptivism and Its Discontents

2017· article· en· W2737099530 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Aesthetics and Art Criticism · 2017
Typearticle
Languageen
FieldPsychology
TopicPhilosophy and Theoretical Science
Canadian institutionsMcGill University
Fundersnot available
KeywordsPhilosophyLinguisticsSociology

Abstract

fetched live from OpenAlex

Is ontologizing about art rightly held accountable to artistic practice, and, if so, how? Julian Dodd argues against such accountability. His target is “local descriptivism,” a meta‐ontological principle that he contrasts with meta‐ontological realism. The local descriptivist thinks that folk‐theoretic beliefs implicit in our practices somehow determine the ontological characters of artworks. I argue, however, that according a grounding role to artistic practice in the ontology of art does not conflict with meta‐ontological realism. Practice must ground our ontological inquiries because our task is to make sense of the practices into which artworks enter. Terms like ‘musical work,’ as employed by the ontologist, play an essentially explanatory role in this endeavor, and it is only in terms of this role that we can specify the object of our ontological inquiries. But neither our practices nor our folk beliefs are sacrosanct. In taking ontology of art to be reflectively accountable to artistic practice, I also reject Amie Thomasson's claim that it involves conceptual analysis and therefore cannot rightly claim to be directly revisionary of folk understandings. Ontology of art involves not conceptual analysis but the codification of a practice in a way that clarifies that practice.

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.

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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.084
Threshold uncertainty score0.214

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)0.0000.000

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 head0.097
GPT teacher head0.331
Teacher spread0.234 · 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