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Record W2278993108

Сленг австралійського варіанта англійської мови: особливості словотвору

2014· article· uk· W2278993108 on OpenAlexaboutno aff

Bibliographic record

VenueElectronic Volyn National University Institutional Repository · 2014
Typearticle
Languageuk
FieldSocial Sciences
TopicSwearing, Euphemism, Multilingualism
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science
DOInot available

Abstract

fetched live from OpenAlex

Стаття присвячена опису й аналізу поняття сленг загалом, простеженню процесів становлення поняття сленгу як унікальної лексичної категорії та особливостей сленгових одиниць австралійського варіанта англійської мови; узагальненню основних ознак сленгу як лексичного класу та аналізу різних підходів до його вивчення у вітчизняній та зарубіжній лінгвістиці; розгляду та представленню ілюстративного матеріалу в площині найпоширеніших та найпродуктивніших способів словотвору, такі як скорочення та його види (абревіація, акроніми, скорочення з усіченням початкової, середньої чи кінцевої частин слова, телескопія), а також основоскладання, різні типи афіксації, контамінації і виділенню їхніх специфічних ознак та рис; акцентуванні уваги на значних лакунах у вивченні та аналізі саме австралійського варіанта англійської мови, який є «наймолодшим» у порівнянні з американським та канадськими варіантами. This article is dedicated to the description and analysis of the term\n«slang» in general, traceability processes of slang as a unique lexical category and specific features of slang lexical items of Australian variant of English; generalization of common slang features as a lexical class and analysis of different approaches to its studying in the sphere of national and foreign Linguistics; review and presentation of illustrational material in the plane of the most common and productive ways of word formation, such as contraction and its kinds (abbreviation, acronyms, shortenings, with initial, middle or final clipping of a word, the telescope) and compounding, different types of affixation, contamination and focusing on their specific characteristics and traits; to accentuation on significant lacunae in the study and analysis of the slang of Australian variant of English, which is the «youngest» one comparing to American and Canadian variants.

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)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.038
Threshold uncertainty score0.126

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0060.011
Scholarly communication0.0140.008
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0380.009

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 head0.010
GPT teacher head0.243
Teacher spread0.232 · 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 designNot applicable
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".

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Citations0
Published2014
Admission routes1
Has abstractyes

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