Analysis of derivational relations of a word in the framework of the study of the linguistic picture of the world (based on the material of the Quebec version of the French language)
Bibliographic record
Abstract
The purpose of this study is to examine a fragment of the linguistic picture of the world (LPW) of the French-speaking part of Canada by analyzing the derivational relations of the Quebec word patate (potato). The paper analyzes the linguistic characteristics of lexical units that are derived from this word: origin, internal form, structure of meaning, connection of Quebecisms with their analogues from the central version of the French language; also defines the elements of these units, which contain ethno-cultural content (elements that directly form the LPW of French Canadians). The subject of the study is the patterns underlying word-formation relationships, as well as cognitive structures transmitted by the lexical units under study. The scientific novelty of the work lies in the fact that the analysis of the relations of the lexeme with the units derived from it is carried out on the material of the Quebec version of the French language in order to characterize the features of the Canadian LPW. In the course of the research, such methods as etymological analysis, analysis of the internal form of a word or phrase, semantic analysis are used. As a result of the work carried out, the ethnolinguistic characteristics (linguistic characteristics that convey the cultural specificity of the ethnic group) of the lexical units under consideration were identified, as well as cognitive schemes that contributed to the formation of units formed on the basis of the patate lexeme. The results of this study can be used in lexicographic practice, as well as in the framework of research in the field of cognitive linguistics and linguoculturology.
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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 | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".