ТOPONYMS AND ARTISTIC TEXT FORMATION (based on the prose of Yurii Andrukhovych)
Bibliographic record
Abstract
The article examines the role and functions of toponyms in the work of Yurii Andrukhovich «Lexicon of Intimate Cities» (2011), a collection of texts that reflect the author’s acquaintance with various cities and towns of Europe, USA, Canada, Ukraine, Russia. In this regard, the toponymic vocabulary is considered in the context of studying the category of space and linguo-mental mechanisms due to the cognition of new spatial objects, in this case, urban ones. First of all, these are cities and the objects that fill them – squares, streets, parks, buildings, reservoirs, etc. The main functional feature of toponyms and urbanonyms in Andrukhovych’s work is their entry into contexts that reflect the processes of mastering a space that was not previously known to the author, and acquiring new experience in a new place. Such contexts include I-sentences, syntactic blocks that are generated by object comparison operations, their convergence by adjacency, as well as partitive and associative links that are of an individual nature. Contextual analysis showed that the linguo-mental mechanisms involved in the processes of cognition of a new space correlate with the activation of memory, knowledge, personal experience, and feelings. Their objects are not only extra-linguistic realities, but also toponyms and urbanonyms, their sound, spelling, morphostructural features. Fixation of impressions from the names of urban objects themselves, their internal form, sound images, associations that they cause, creates a separate textual substructure, which is considered as a meta-onymic component of the text. Text formation, which captures inner speech, the associative series, the course of memories, manifestations of previous experience, is largely based in this case on the introspection. In this regard, a conclusion is made about the expediency of studying artistic text formation for the purpose of highlighting the linguo-mental mechanisms activated in the process of mastering a new space.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 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 teacher head, 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".