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Record W2956020848 · doi:10.22215/etd/2019-13611

Communication, Networks, and Disruption in Twin Peaks: The Return

2019· dissertation· en· W2956020848 on OpenAlexaff
Aaron O'Quinn

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicGothic Literature and Media Analysis
Canadian institutionsCarleton University
Fundersnot available
KeywordsThe ImaginaryAlienationFace (sociological concept)AnimationSociologyPsychologyVisual artsPsychoanalysisPolitical scienceArtSocial science

Abstract

fetched live from OpenAlex

The network model has become a powerful tool for shaping an imaginary of social organization and communication in contemporary life. As individuals become increasingly connected via communication technologies, we also face a heightened sense of alienation and disorientation. In this thesis I argue that David Lynch and Mark Frost's eighteen-episode television series Twin Peaks: The Return crafts a roadmap though this disorientation. By drawing attention to historical events represented in the series, namely the Trinity nuclear test, I will show the ways in which the series is interested in how specific aspects of American history created the foundation for contemporary notions of communication breakdown. I connect this historical framework to a textual analysis of The Return to argue that the series' aesthetic engagement with intense affects, namely anxiety, is connected to how it represents networked modes of communication.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.648
Threshold uncertainty score0.880

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.305
Teacher spread0.295 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2019
Admission routes1
Has abstractyes

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