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Record W4310810050 · doi:10.56397/jlcs.2022.11.02

Confronting Skam in Each of us in the Critical Media Studies and Cultural Trauma Theories

2022· article· en· W4310810050 on OpenAlexaff
Xinyue Wang

Bibliographic record

VenueJournal of Linguistics and Communication Studies · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicNarrative Theory and Analysis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMainstreamShameRebuttalNarrativeNorm (philosophy)Power (physics)Meaning (existential)EpistemologyDilemmaPsychologySociologyCulture theoryPsychoanalysisSocial psychologyPsychotherapistLawPhilosophyPolitical scienceLinguisticsAnthropology

Abstract

fetched live from OpenAlex

This paper will conduct a TV series from Norway called Skam (Shame) as a case study and discuss its impact by utilizing critical studies of media and cultural trauma theories. Simply put, this paper aims to illustrate that Skam depicts the shame arisen from mythical norm labeled by the dominant narratives under the mainstream media and understands the true meaning of healing for traumas in two aspects based on cultural trauma theories. For one, trauma is intersectional and therefore varying from every individual. For another, the mainstream power-over approach cannot help to heal trauma, but only the person herself/himself can be the one to deal with own relationship and confront with the truth. Lastly, this paper will bring up a rebuttal to criticize the drawback of mainstream media to the paradigm shift of understanding cultural trauma theory.

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)0.002
metaresearch head score (Gemma)0.003
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: Empirical
Teacher disagreement score0.496
Threshold uncertainty score0.374

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.119
GPT teacher head0.381
Teacher spread0.262 · 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
Published2022
Admission routes1
Has abstractyes

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