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Record W4281955004 · doi:10.14712/23366478.2022.27

Ako ďaleko sme si ešte blízki (na príklade rozhodovania o nemajetkovej ujme na zdraví)

2022· article· en· W4281955004 on OpenAlexaff
Anton Dulak

Bibliographic record

VenueAUC IURIDICA · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicDiverse Legal and Medical Studies
Canadian institutionsCanadian Network for Innovation in Education
Fundersnot available
KeywordsCompensation (psychology)ExpansiveCzechStatutory lawLawState (computer science)Civil codeBusinessInterpretation (philosophy)PersonalityPolitical sciencePsychologyMathematicsSocial psychologyPhysics

Abstract

fetched live from OpenAlex

The development of private law in the last two decades has been marked by an increase in actions for compensation for non-pecuniary damage to health and life. Claimants’ demands for the amount of compensation also grew. The legal institutes traditionally set up for this purpose (compensation for pain and suffering and compensation for hardship) soon proved inadequate. The courts began to remedy the lack of, or insufficient, statutory regulation by an expansive interpretation of the provisions on the protection of personality. Court decisions thus continued to harmonise the legal status in the countries of the former common state of Czechs and Slovaks. However, the adoption of the new Civil Code in the Czech Republic in 2012 ushered in a qualitatively new stage in the development of private law.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.028
Threshold uncertainty score0.095

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0030.003
Scholarly communication0.0100.004
Open science0.0010.004
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0280.010

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.

Opus teacher head0.017
GPT teacher head0.207
Teacher spread0.190 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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Same venueAUC IURIDICASame topicDiverse Legal and Medical StudiesFrench-language works237,207