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TOPONYMIC NOMINATIONS IN THE ENGLISH-SPEAKING PROVINCES OF CANADA AS A REFLECTION OF THE LANGUAGE PICTURE OF THE WORLD OF CANADIANS

2025· article· uk· W4410490780 on OpenAlexaboutno aff
Oksana Bovkunova

Bibliographic record

VenueВісник науки та освіти · 2025
Typearticle
Languageuk
FieldArts and Humanities
TopicLexicography and Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsReflection (computer programming)LinguisticsHistoryGeographyPolitical scienceComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

This article is devoted to toponymic nominations of the Englishspeaking provinces of Canada in the aspect of the linguistic picture of the world of Canadians, toponymic layers and influences of different linguistic genesis.Toponyms have paradigmatic and syntagmatic characteristics inherent to words in general, however, they are characterized, first of all, by special principles of nomination, such as the factor of the geographical environment, the factor of spatial properties of objects of the surrounding world, the ethnic composition of the population, the factor of material, social and spiritual culture, contacts of languages and cultures.The linguistic and cultural significance of toponyms can be characterized as a kind of familiarization card, with which it is appropriate to begin acquaintance with the country, its regions, cities, villages and, most importantly, with the people who inhabit and inhabited it.Geographical names appear as a kind of compressed ethnocultural text, carrying information about the historical past of peoples, the boundaries of their settlement, cultural, commercial and geographical centers, etc. Toponyms mark and reflect the most significant layers of the vocabulary of the geographical space for society.Modeling the picture of the world allows us to answer the question of how toponymic nominations reflect stereotypes of perception and understanding of reality, how language organizes and orders the geographical division, perception and reflection of the world.In solving this problem, it is logical to rely on the theory of nomination, since this theory examines the process of objects receiving their names.This material allows not only to present the English-language toponymic corpus of Canada, but also to examine and compare the stages and conditions of its formation in various historical periods, which is essential for the interpretation and reconstruction of the linguistic picture of the world (hereinafter -LPW) of Canadians in diachronic and synchronic aspects.The LCM, in turn, is a reliable base of linguistic data, by studying which one can make important conclusions

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.327
Threshold uncertainty score0.390

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.006
GPT teacher head0.226
Teacher spread0.220 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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