Bioetika III - Eugenika - historie a současnost
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
Author: Alexandra Matiásková Title: Bioethics ΙΙΙ - Eugenics - history and present Form: Master Thesis Name of University: Charles University in Prague, Faculty of pharmacy in Hradec Králové Degree: Pharmacy Aim and task: The aim of this thesis was to elaborate historical development of the eugenics, its present in the focus on the assisted reproduction, the prenatal diagnosis and the preimplantation genetic diagnosis and solving this problematics in the Czech Republic, Germany, Great Britain, Israel, China, United states of the America and Canada by the background research method. Principal information: The main principles of eugenics were described by Platon before 2400 years. We can determine the period from the end of the 19th to the first half of the 20th century as the biggest boom of the eugenics when its negative ideas and manifestations were accepted in the society. The word itself is stigmatized because of the abuse of eugenic`s principles for the justify holocaust in the Nazi`s Germany. Demarcation of the eugenics is very disputed. It is described as aplicated human`s genetics with displays as prenatal diagnosis or preimplantation genetic diagnosis by some authors. The World Health Organization defined it as a coercive policy intended to further reproductive goal, against the rights,...
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 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