Forming capital: Emblematizing discourses of mobility in South Korea
Bibliographic record
Abstract
Abstract This article examines how listening subjects (Inoue 2006) mediate understandings of mobility in South Korea. Focusing on a cybercampaign to discredit the hip-hop star Tablo, it traces the ways that a listening public regimented signs relating to educational credentials, language, citizenship, and demeanor into forms of institutionalized, embodied, or objectified capital (Bourdieu 1986). Through the crafting of certain signs as icons that pointed to Tablo's ‘true’ character, and others as fronts, they were able to cast aspersions upon his command of English grammar, spelling, and interaction, and his character and educational credentials. By tracing how Tablo skeptics deployed metasemiotic discourses about emblems and figures of failed mobility, this article contributes to theories of semiosis that decenter the agentive speaking subject. (Capital, mobility, listening subject, English, South Korea)*
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.010 | 0.027 |
| Scholarly communication | 0.008 | 0.010 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
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".