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Record W4415932846 · doi:10.33735/phimisci.2025.12110

Sartre on imaginative presence

2025· article· W4415932846 on OpenAlexaff
Valerie Bernard

Bibliographic record

VenuePhilosophy and the Mind Sciences · 2025
Typearticle
Language
FieldPsychology
TopicPhenomenology and Existential Philosophy
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPhenomenology (philosophy)FeelingPerceptionSubject (documents)Context (archaeology)Intentionality

Abstract

fetched live from OpenAlex

The question as to whether imaginative experience involves phenomenal presence is increasingly a subject of philosophical debate. In contrast to many contemporary thinkers who hold that waking imaginative experience and dreaming involve a feeling of presence, Jean-Paul Sartre (1940/2004, 1936/2012) argues that the phenomenology of presence accompanies perception only. Sartre thus rejects both that there is such a thing as “imaginative presence” and that dreaming involves the phenomenology of presence or a sense of immersion in a spatiotemporal dreamscape. This position puts him at odds with Amy Kind (2018) who holds that the imagination furnishes a sense of “presence in absence,” and Jennifer Windt (2018) and Michael Barkasi (2021), among others, who hold that dreaming involves a feeling of immersion in an imagined spatiotemporal dreamscape. I argue that Sartre’s position on presence emerges from his theory of perception that shares key objectives with contemporary naïve realism, and that his rejection of imaginative presence is consistent with the reasons why a contemporary naïve realist or relationalist would also reject the concept. This paper explains Sartre’s theory of phenomenal presence in the context of his theory of perception and contrasts his position on why a dreamer lacks a true sense of immersion in a dreamscape with the views of Windt and Barkasi.

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)0.002
metaresearch head score (Gemma)0.005
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 score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0020.022
Scholarly communication0.0030.008
Open science0.0010.004
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0040.001

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 head0.042
GPT teacher head0.345
Teacher spread0.302 · 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
Published2025
Admission routes1
Has abstractyes

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