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Record W1982728569 · doi:10.1075/wll.4.1.05oli

Phat Lines

2001· article· en· W1982728569 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

VenueWritten Language & Literacy · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicMultilingual Education and Policy
Canadian institutionsTrent University
Fundersnot available
KeywordsSpellingArbitrarinessLyricsLinguisticsOrthographyGrammarPhonologyRelation (database)Computer scienceLiteratureArtPhilosophy

Abstract

fetched live from OpenAlex

This paper focuses on the spelling conventions used in a corpus of written rap music lyrics intended for public consumption. The non-standard spellings evident in this corpus are used deliberately for various purposes, one of which is to graphically represent the phonological and syntactic features of African American Vernacular English (AAVE). This use of non-standard orthography can be seen as a way for the writer to demonstrate a positive evaluation of the non-standard speech forms that characterize rap music performances. Other non-standard spellings bear no relation to the grammar or phonology of AAVE. However, through the use of processes such as “inversion”, these non-standard spellings invoke alternative meanings while simultaneously calling attention to the arbitrariness of dominant spelling conventions. It is argued that, overall, the non-standard spelling conventions employed in rap music lyrics function to create and sustain hip-hop culture as an “anti-society”.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.978
Threshold uncertainty score1.000

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.036
GPT teacher head0.470
Teacher spread0.434 · 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