PROSODIC PARAMETRES VARIATION IN THE SPEECH OF CANADIAN PROVINCE NEW SCOTIA REPRESENTATIVES
Bibliographic record
Abstract
The given article focuses on the variation of prosodic parametres of Canadian Variant of English which have been analyzed on the examples of the speech of province New Scotia representatives. The research has been performed within the scientific paradigm of functional linguistics. The national identity of New Scotia representatives as well as the character and peculiarity of historical penetration of the British variant of English to the territory of Canadian province are in the centre of attention. The interest in the study of national versions of English is dictated by a number of reasons, including, on the one hand, the cultural expansion of English on a global scale, which contributes to the emergence of new versions, on the other – the destruction of old stereotypes. Melodic, frequency and temporal characteristics have been studied in the article and mutual prosodic traits have been revealed. With the help of auditory and computer analysis main units of speech melody, namely, terminal tones and scales have been defined, frequency and temporal parametres with the account of gender belonging have been studied. The frequency of Scales and terminal tones usage allows to state that New Scotia representatives' speech is under the influence of British English. Among prosodic characteristics peculiar for the British-Descending Stepping Scale, Falling, Rising and Falling-Rising terminal tones, wide frequency range dominate. Temporal and melodic prosodic parametres serve as informative data of regional speech and can also identify speaker's gender belonging. The results of the study make it possible to determine the prospects for further study of the prosodic features of the Canadian version of the English language, taking into account age, gender, and occupational differences.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".