RENT AS A PROSPECTIVE SEGMENT OF THE RESIDENTIAL REAL ESTATE MARKET: EXPERIENCE OF FOREIGN COUNTRIES
Bibliographic record
Abstract
The article considers the problems of formation and development of the rented housing segment in foreign countries. The impact of changing consumers generations on the residential real estate market, which have other formats of consumer behavior, a different lifestyle, an approach to planning the structure and directions of consumer spending, other plans for the future. It is noted that in almost all countries there are laws that protect the rights of tenants, and an effective judicial system guarantees the protection of landlords' rights. The experience of foreign countries and their regions in the regulation of the rental housing segment is analyzed: USA, Canada, Germany, France, Spain, Great Britain, Japan. Based on the analysis of international experience, it is concluded that in most countries the law regulates the organizational and legal aspects of rental relations, the legislative level also sets minimum standards and quality characteristics of rental housing, which are often the responsibility of regional authorities. state, province or land. It is emphasized that there is an objective need to regulate the residential real estate market development, including in the rental segment, at the national, regional and local levels. It is noted that local governments of Ukraine should pay attention to this segment in the direction of developing "Regional standards of long-term lease", which will regulate relations, share responsibilities, responsibilities and rights, reconcile the interests of the tenant and the landlord.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".