MétaCan
Menu
Back to cohort
Record W2315109106 · doi:10.1177/1527476414556184

Now You’ve Got the Shiveries

2014· article· en· W2315109106 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.

Bibliographic record

VenueTelevision & New Media · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsMcGill University
Fundersnot available
KeywordsPleasurePerceptionPower (physics)PsychologySpace (punctuation)AdvertisingAestheticsPublic spaceSociologyMedia studiesInternet privacySocial psychologyArtComputer scienceBusiness

Abstract

fetched live from OpenAlex

The Autonomous Sensory Meridian Response (ASMR) or Whisper Community is an online group of people who create and share videos through YouTube videos that are intended to produce a relaxing shivering sensation for the viewer. ASMR relies primarily affective power of the whispered voice’s impression to create an intimate sonic space shared by the listener and the whisperer. The ASMR community struggles with popular perception of the transgressive nature of their shared pleasure, which by its public nature is what Berlant and Warner call “nonstandard intimacy.” In this paper, I investigate the ways in which the whisper works on the viewer through YouTube, drawing on sonic associations between private domestic space and care, as well as the problematic distance of the YouTube-mediated intimate experience that troubles the Whisper Community’s pursuit of pleasure.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.698
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0310.002

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 head0.030
GPT teacher head0.205
Teacher spread0.175 · 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