Semantic analysis of the somatism “head” in the phraseology of the Canadian French, French and English languages
Bibliographic record
Abstract
The aim of the research is to identify universal patterns and specific features in the semantic fields of phraseological units with the somatism “head” in the Canadian French, French and English languages. The scientific novelty of the research is accounted for by the fact that the relationship between culture and language and the issues associated with the reflection of the national-cultural distinctness of the functional and semantic features that are peculiar to phraseological units with the somatism “head” in Canadian French, French and English has been little studied. The paper carries out a comparative analysis of phraseological units with the somatism “head” in Canadian French, French and English, identifies and systematises the semantic values of these phraseological units, determines equivalents and lacunae in the semantic fields of these phraseological units in the languages compared. As a result, it has been proved that the somatism “head” is a part of a large number of phraseological units in the languages compared, however, there are more similarities in the semantics of these phraseological units in French and English, while Canadian French, due to the use of French set expressions and idioms, shows greater lacunarity.
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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 | 0.004 | 0.004 |
| Science and technology studies | 0.005 | 0.009 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".