Молодіжний сленг в англомовних країнах: діахронічний підхід
Bibliographic record
Abstract
Feduniak V. A. Youth Slang in English-speaking Countries: Diachronic Approach. Bachelor’s degree qualification paper. This thesis explores the diachronic development of youth slang in English-speaking countries. The relevance of the study stems from the rapid pace of linguistic change among younger speakers, the impact of digital communication and globalization on vocabulary, and the growing need for systematic academic analysis of informal language. The research aims to identify trends in the evolution of youth slang throughout the 20th and 21st centuries by analyzing semantic shifts, usage changes, and perception across different historical periods and regional contexts. It also addresses the sociocultural and technological factors that contribute to the emergence and transformation of slang expressions. The object of the study is slang as a dynamic lexical phenomenon in English. The subject is the semantic, functional, and perceptual shifts of youth slang across English-speaking regions, including the United States, the United Kingdom, Canada, and Australia. The methodology combines descriptive analysis, elements of discourse analysis, semantic study, and comparative methods. The theoretical foundation draws on both Ukrainian and international linguistic scholarship in the fields of sociolinguistics, youth language, and diachronic lexicography. The novelty of the research lies in combining a diachronic linguistic approach with an analysis of youth communicative behavior to uncover typical patterns of slang development. The study categorizes slang units by their communicative functions, semantic transformations, and regional variation. A total of 35 slang terms were analyzed, with attention to their etymology, semantic evolution, dominant word-formation patterns, and communicative functions in contemporary informal English.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.005 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".