The contrastive study of the lexicon of the French and the Quebec rap: songs of rappers Nekfeu and Koriasse
Bibliographic record
Abstract
Contrastive Study of the Lexicon of the French and the Quebec rap: songs of rappers Nekfeu and Koriass The thesis is concerned with the comparison of the lexicon of French in France and the Quebec French studied on lyrics of songs of the French rapper Nekfeu and the Quebec rapper Koriass. The theoretic part of the thesis attempts to outline the synthesis of lexicological findings which enable us to define the particularities and the differences of both variants. The aim of the practical part is to conduct an analysis of the lyrics of songs of both rappers and to compare the use of particular lexical expressions. These expressions are subsequently examined in referential but also in unconventional, French and Quebec dictionaries. The aim of the study is to conduct a lexical analysis of texts of the corpus and to compare the use of the lexicon between the official French language and its Quebec variant. KEYWORDS Lexicology, French, Quebec French, Rap, Diatopy
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
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".