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Record W4250109990 · doi:10.1017/cbo9781139583800

Teen Talk

2016· book· en· W4250109990 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

VenueCambridge University Press eBooks · 2016
Typebook
Languageen
FieldArts and Humanities
TopicLinguistics, Language Diversity, and Identity
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsStyle (visual arts)Reading (process)Period (music)LinguisticsEnglish languagePsychologyHistoryArtAesthetics

Abstract

fetched live from OpenAlex

How do today's teenagers talk? What are the distinguishing features of their style of language, and what do they tell us about the English language more generally? Drawing on a huge corpus of examples collected over a fifteen-year period, Sali A. Tagliamonte undertakes a detailed study of adolescents' language and argues that it acts as a 'bellwether' for the future of the English language. Teenagers are often accused of 'lowering the standards' of the English language by the way they talk and text. From spoken words - 'like', 'so', 'just', and 'stuff' - to abbreviated expressions used online, this fascinating book puts young people's language under the microscope, examining and demystifying the origins of new words, and tracking how they vary according to gender, geographical location, and social circumstances. Highly topical and full of new insights, the book is essential reading for anyone interested in how teenagers talk.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.420
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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.025
GPT teacher head0.186
Teacher spread0.162 · 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