Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.021 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.000 | 0.007 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".