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Record W4378233273 · doi:10.7202/1099404ar

Memory, History, Cognition: Using Systems-Theoretical Social Theory to Illuminate Patrick Modiano’s enquêtes policières

2023· article· en· W4378233273 on OpenAlexvenueno aff
Kristen Gunderson

Bibliographic record

VenueCahiers d histoire · 2023
Typearticle
Languageen
FieldPsychology
TopicSocial Representations and Identity
Canadian institutionsnot available
Fundersnot available
KeywordsWitnessNarrativeCognitionCollective memoryPerceptionEpistemologyGermanFocus (optics)SociologyCognitive scienceHistoryAestheticsLiteraturePsychologyPhilosophyArtLinguisticsArchaeology

Abstract

fetched live from OpenAlex

Winner of the 2014 Nobel Prize in literature, Patrick Modiano is perhaps the most widely known contemporary French author uniting individual memory and collective historical narrative. His novels, detective-like investigations, focus on the German Occupation of France during World War II . This article argues that Modiano’s detective investigations may best be read as a mise-en-scene of processes of cognition, using the work of social scientist Niklas Luhmann, whose theory of how individual and collective systems “make sense” using memory, perception, and other cognitive phenomena addresses certain particularities present in Modiano’s work. The idea of witness plays a crucial role in both Modiano’s oeuvre and Luhmann’s model of cognition.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.548
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.029
GPT teacher head0.312
Teacher spread0.283 · 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; both teacher heads agree on what is shown here.

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
Published2023
Admission routes1
Has abstractyes

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