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Record W2269701027 · doi:10.25071/1718-4657.36560

Incorporeal Encounters and Affective Relationality in Krzysztof Kieslowski’s The Double Life of Véronique

2010· article· en· W2269701027 on OpenAlexaffvenue
Justin Derry

Bibliographic record

VenueIntersections conference journal · 2010
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsYork University
Fundersnot available
KeywordsTrilogySensibilityIrrational numberArtLiteraturePsychoanalysisAestheticsPsychology

Abstract

fetched live from OpenAlex

In Krzysztof Kieslowski’s own words, his 1991 film, The Double Life of Véronique, is a “film …about sensibility, presentiments and relationships that are difficult to name, that are irrational ....[It’s about] something that doesn’t exist in the picture alone or in the music alone” (Stok 1993:34). This film, produced in Poland and France, along with his French-produced Three Colours Trilogy of the early 1990s, constitutes the final installment of this Polish-born director’s distinguished career. Over his thirty-year career of directing films and documentaries, Kieslowski repeatedly returned to a particular problematic to which most of his work, includingThe Double Life of Véronique, could be seen as a response. Set within a particular cultural andpolitical history of Europe, Kieslowski’s films sought to express a response to the problematic oflife, and its paradoxical, immanent and yet differential relationship with death, non-life or whatis other than human.

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)0.004
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: Empirical · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0090.025
Scholarly communication0.0150.012
Open science0.0010.006
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0040.000

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 head0.034
GPT teacher head0.248
Teacher spread0.214 · 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
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

Citations2
Published2010
Admission routes2
Has abstractyes

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