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Record W4312818365 · doi:10.7202/1093769ar

Analog Desires: On <i>Stranger Things</i> and the Logics of Nostalgia

2022· article· fr· W4312818365 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueIntermédialités Histoire et théorie des arts des lettres et des techniques · 2022
Typearticle
Languagefr
FieldPsychology
TopicNostalgia and Consumer Behavior
Canadian institutionsUniversité du Québec en Abitibi-Témiscamingue
Fundersnot available
KeywordsSituatedPsychoanalytic theoryOmnipresenceRelation (database)Object (grammar)AestheticsSubject (documents)SociologyPsychoanalysisPsychologyEpistemologyPhilosophyComputer scienceLinguistics

Abstract

fetched live from OpenAlex

This paper examines the relation between Stranger Things (Netflix, 2016–) and the omnipresence of nostalgic tropes within current mediascapes. Nostalgia for the 1980s is already a well-examined subject within film and media studies, yet there remains much to say about the ties between nostalgia and desire. As with any desire considered from a psychoanalytic standpoint, nostalgia is focused on an impossible object that is conceived in retrospect. After comparing the object of nostalgia with the functioning of the object-cause of desire as it is conceptualized in psychoanalytic thought, this paper argues that the nostalgic desire expressed within the series is situated around the very shift from the analog to the digital. It is argued that nostalgia within Stranger Things emerges from the remediation of analog media and technologies, and that its relation to desire emanates from the very lack that is retrospectively situated at the heart of digital media.

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.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.845
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0020.009
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.041
GPT teacher head0.322
Teacher spread0.281 · 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