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Record W4416100456 · doi:10.1017/apa.2025.10017

The Argument from Imagination

2025· article· en· W4416100456 on OpenAlexaff
Boyd Millar

Bibliographic record

VenueJournal of the American Philosophical Association · 2025
Typearticle
Languageen
FieldPsychology
TopicPhilosophy and Theoretical Science
Canadian institutionsTrent University
Fundersnot available
KeywordsPresentational and representational actingVariety (cybernetics)PerceptionDirect and indirect realismArgument (complex analysis)Content (measure theory)RealismQualia

Abstract

fetched live from OpenAlex

ABSTRACT Much of the debate between naïve realism and the content view has focused on a particular aspect of perceptual phenomenology: the phenomenal immediacy that distinguishes perceptual experiences from both imagery experiences and conscious thoughts. According to a version of the argument from hallucination , we should prefer the content view to naïve realism because the former, unlike the latter, can provide a unified explanation of the fact that both hallucinatory and veridical experiences possess immediacy. However, the standard variety of the content view that can provide such an explanation is not in a position to provide a unified explanation of a distinct aspect of perceptual phenomenology: perceptual experiences possess a presentational character that they share with imagery experiences (and which distinguishes both from conscious thoughts). Accordingly, I present an argument from imagination in defense of a non-standard variety of the content view—the sensory vehicle theory. Unlike its competitors, the sensory vehicle theory can provide unified explanations of why hallucinatory and veridical perceptual experiences possess immediacy, and why perceptual and imagery experiences possess their presentational character; as such, this theory provides a better explanation of the phenomenal facts than does either naïve realism or the standard variety of the content view.

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)0.001
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 score0.674
Threshold uncertainty score0.221

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.007
GPT teacher head0.300
Teacher spread0.294 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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