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Record W1608456933

Open mic: La profesionalización de la carrera rapera*

2015· article· es· W1608456933 on OpenAlexaff
Joo-Young Lee

Bibliographic record

VenueRepositorio Digital Institucional de la Universidad de Buenos Aires (Universidad de Buenos Aires) · 2015
Typearticle
Languagees
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

¿De qué modo cambian los significados de un local de hip hop durante la trayectoria de un rapero aspirante? Este artículo utiliza cuatro años de trabajo de campo etnográfico continuado con varones de barrios marginados de la ciudad que rapean en el Project Blowed, un evento de ‘open mic’ de hip hop en la zona South Central de Los Ángeles. Aunque los raperos en un principio consideran al Project Blowed como un lugar en donde perfeccionar sus habilidades interpretativas y ganarse el respeto de sus pares, esperan poder dejarlo atrás y hacer dinero en la industria de la música. Los OGs, raperos mayores con experiencia, que siguen participando en esta escena actúan como mentores de los raperos más jóvenes, pero también pueden convertirse en ejemplos de las trayectorias estancas que los raperos emergentes quieren evitar. Este artículo explora cómo el modo en que los participantes perciben este local está vinculado a sus percepciones cambiantes de otros individuos de la escena.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.008
Scholarly communication0.0070.003
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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.

Opus teacher head0.018
GPT teacher head0.270
Teacher spread0.252 · 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 source (direct Gemma or distilled Codex), 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
Published2015
Admission routes1
Has abstractyes

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