Znaczenie stereotypów w postrzeganiu atrakcyjności Nowej Huty dla odwiedzających i mieszkańców
Bibliographic record
Abstract
The paper undertakes the broadly understood perception of tourism space. The research aim is to present the topic in the context of Nowa Huta – the youngest quarter of Krakow (Poland). Empirical data was gathered on the basis of questionnaires distributed among 400 permanent and temporal residents of Krakow and the closest neighburhood of the city. The main hypothesis is related to the existence of differences in the perception of Nowa Huta according to the place of residence of respondents. On the basis of analysis of the empirical material it was proved that the majority of respondents are familiar with the quarter. In their opinion, Nowa Huta is presented as a dangerous, grey, and scary place. Positive perception of the quarter is typical mainly its residents. The results might be used to determine the directions of the future development of Nowa Huta to improve its image and become more attractive for tourists and residents. The results also prove the relationship between the familiarity of the place and its positive perception.
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 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".