MétaCan
Menu
Back to cohort
Record W2286281208 · doi:10.1017/s0047404515000780

So sick or so cool? The language of youth on the internet

2016· article· en· W2286281208 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

VenueLanguage in Society · 2016
Typearticle
Languageen
FieldComputer Science
TopicDigital Communication and Language
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsThe InternetLinguisticsGrammarSet (abstract data type)Variation (astronomy)PhoneComputer scienceMobile phoneInstant messagingPsychologySociologyWorld Wide Web

Abstract

fetched live from OpenAlex

Abstract This article presents the results of a two-year study of North American youth which produced a 179,000 word corpus of internet language from the same writers across three registers: email, instant messaging, and phone texting. Analysis of three linguistic phenomena—(i) acronyms, short forms, and initialisms; (ii) intensifiers; and (iii) future temporal reference—reveals that despite variation in form and contrasting frequencies across registers, the patterns of variant use are stable. This offers linguistic evidence that there is no degeneration of grammar in internet language use. Instead, the young people are fluidly navigating a complex set of new written registers, and they command them all. (Internet, language change, youth)*

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.127
Threshold uncertainty score0.352

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0020.000
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 head0.024
GPT teacher head0.269
Teacher spread0.245 · 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