Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The subject of my theses is a special category of heirs so-called forced heirs. This theme describes their substantive position and guaranteed increased protection determined by law which is especially defined by right to share on inheritance to an extent determined by law. Will of testator is hereby limited by right of forced heir in forced share. Irrespective of most European regulations only offspring of testator are counted to the circle of forced heirs in the Czech Republic whereby the difference is between minors who are entitled to at least three quarters of share and majors who are entitled to minimum of one quarter determined by legal inheritance share. This thesis is systematically divided into seven chapters. After general historical background and general terms of inheritance law explained in the second chapter, next chapter is continued by the definition of several institutes which are mutually interlinked and also closely related to the person of forced heir. Fourth chapter is dedicated to right of forced share in which I am focusing on its calculation, offsetting and final payment. I completely describe, by means of legal jurisdiction, disinheritance and incapacity to inherit in the two following chapters. Last chapter includes two institutes which, under influence of NCC (New civil...
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it