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Record W2541280644 · doi:10.3366/film.2016.0020

Philosophy of Mind and Body in Andrei Tarkovsky's <i>Solaris</i>

2016· article· en· W2541280644 on OpenAlexaff
Владимир Туманов

Bibliographic record

VenueFilm-Philosophy · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicViolence, Religion, and Philosophy
Canadian institutionsWestern University
Fundersnot available
KeywordsPersonhoodReductionismDualismPhilosophyContext (archaeology)Key (lock)EpistemologySocialityMind–body problemWildnessPsychoanalysisPsychologyComputer scienceHistory

Abstract

fetched live from OpenAlex

Andrei Tarkovsky's film Solaris (1972) is studied through the lens of philosophy of mind. The question of memory and personhood, as developed by John Locke and then expanded by Derek Parfit, is applied to the status of Hari – the copy of the protagonist's deceased wife. The key question addressed by this paper is on what basis Hari can (or should?) be considered human. Hari's personhood is further analyzed in the context of Cartesian dualism, the response to Descartes by reductionism and the rebuttal of reductionism by the functionalist theories of Hilary Putnam. Descartes' thoughts on animal suffering and the bête-machine are pitted against Hari's experience in Solaris. The key question is whether Hari can be reduced to her alien structure or should be considered in terms of her behavior. The moral implications of these questions are extended to human sociality, human emotional response and the role of the body in the human condition.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.004
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.012
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.022
GPT teacher head0.216
Teacher spread0.194 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations2
Published2016
Admission routes1
Has abstractyes

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