Kilka uwag o nazewnictwie miejskim Lublina (na przykładzie powieści "Czerwona wiosna" Józefa Łobodowskiego)
Bibliographic record
Abstract
The subject of research is the functions of the proper names present in the novel “Czerwona wiosna [The Red Spring]” by Jozef Łobodowski (1909-1988), an emigre writer. These functions have been defined based on the names extracted from the urban space of interwar Lublin evidenced in the work in question. The urbanonyms in the novel are genuine proper names of the streets, squares, districts, etc. in the city on the Bystrzyca River (i.e. Lublin). They function within the enclosed space defined by the center and the outskirts, for example Podwale street [meaning: at the defensive wall] defines its place in the urban space in relations to the town limits (former defensive walls). Similarly Brama Krakowska [the Krakow Gate] opens the space of Stare Miasto [Old Town quarter] outside towards Krakowskie Przedmieście [Krakow outskirt] street. In addition to their function of location, identification and distinction the proper names in the city space of the then Lublin perform a sociological function. The name Podzamcze characterizes the population living in this quarter as Jewish; similarly, the name Bronowice characterizes the quarter as a working class district. The expressive function of the urbanonyms in the novel defines the attitude of the main character and the writer towards specific fragments of Lublin’s urban space – the city of the novel’s hero Jozef Zakrzewski’s youth and the arcadia of Jozef Łobodowski’s youth (the author of “The Red Spring”).
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".