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Record W4399135474 · doi:10.1525/jpms.2024.36.2.76

The Alien Resonances and Queer Obscurities of Hyperpop’s 100 gecs

2024· article· en· W4399135474 on OpenAlexaff
Cameron MacDonald

Bibliographic record

VenueJournal of Popular Music Studies · 2024
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsQueerAlienSociologyMaterials scienceGender studiesDemography

Abstract

fetched live from OpenAlex

This article pairs 100 gecs’ aesthetic praxes of obscurity alongside hyperpop’s extension of electronic music’s alien sonorities to explore how the musical and the otherworldly come to transpose and transform the self through anonymous or opaque modes of production, receptivity, and transmission. I suggest that Dylan Brady and Laura Les’ commitment to sonic, visual, and connotative obscurity is not only the force behind their viral success but is the spell that casts their music as particularly queer, as their aesthetic choices challenge the strictures of neoliberal personhood and the epistemological demands for rational transparency. I will first establish a cosmology of hyperpop through music, sound, race, and sexuality studies that tracks the genre’s obscure technological, magical, and nonhuman influences to explore how hyperpop is both an extension of the uneven distributions of power across varying positionalities of identity, while nevertheless offering a means to disrupt concepts of the human outside a politics of recognition by embracing the (im)materiality of the body. I will then analyze 100 gecs’ debut album 1000 gecs (2019) to attune to how the duo make themselves alien to structures of the human through queer and trans embodiments and resonances. Overall, I contend that hyperpop offers an avenue for understanding what it means to extricate the alien from the political, social, and linguistic-based schemas that manage concepts of the human under cisnormative racial capitalism and attend more closely to how logics of the alien escape, distort, and transfigure the human towards possibilities of sounding and living otherwise.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.625
Threshold uncertainty score0.297

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.082
GPT teacher head0.280
Teacher spread0.199 · 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 designNot applicable
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

Citations2
Published2024
Admission routes1
Has abstractyes

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