Residential lease: Comparing the legal position of the lessee and lessor
Bibliographic record
Abstract
The topic of the diploma thesis is residential lease as one of the most frequent civil law obligations. The work focuses on the comparison of the legal position of the lessor and lessee by means of analysing the lease institutes and individual rights and obligations of the above- mentioned subjects. The aim of the diploma thesis was to answer the question which of the subjects in fact have a better legal position. The diploma thesis is divided into four main parts. All parts emphasise the Czech legislation contained in the Civil Code but all of them also include a foreign excursion that offers an insight particularly into German and Québec legislation. The first part focuses on introducing the general term lease and its conceptual features aiming to introduce the topic as broadly as possible. Attention is then given to defining the term apartment, housing need, subjects of lease and an overview of their rights and obligations. Space is also given to the institute of a lease agreement itself and its formalities. The first part is concluded with provisions laying down the protection of the lessee under rubric Prohibited Arrangements. The second part of the work focuses on analysing the lease obligation, especially rent and security deposit. The question also discussed is routine maintenance, minor...
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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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 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".