Innovative Ecological Transformations in the Management of Municipal Real Estate
Bibliographic record
Abstract
Innovative ecological transformations are implemented in order to improve the quality and comfort of people’s lives, especially in urban spaces. The ecological awareness of the society has increased in recent years, which resulted in the emergence of a growing number of social initiatives in the field of ecological activities. The main purpose of the article was to conduct a survey in order to examine the environmental awareness of the inhabitants and the need to implement pro-ecological solutions in their area of residence. We analysed the results of research carried out among the residents of ZGM TBS Sp. z o.o. in Częstochowa. The authors’ own research presented in the article was conducted in the first and second quarter of 2021 among the inhabitants of a medium-sized city in the Śląskie Voivodeship. Research was conducted in Częstochowa, which is a specialized Silesian region, is one of the most polluted pollutants in Poland, and is a reserved research stand. The survey was conducted with the use of a questionnaire administered to 400 respondents, the number of whom was considered sufficient to express the opinion of a part of the population on the topic under study. The obtained results of the research prove the respondents’ awareness of the implementation of modern ecological solutions, allowing for a reduction in maintenance costs and unfavourable actions for the natural environment. The results of the study clearly indicate the need to adapt urban spaces to the requirements of its community and the respondents’ willingness to implement ecological solutions. Ecological changes in the management of municipal real estate should be implemented and modernized in accordance with the standards set by modern society.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".