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Record W2271893879

제조물책임과 사후구제조치 증거

2010· article· ko· W2271893879 on OpenAlexaboutno aff
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Bibliographic record

Venue안암법학 · 2010
Typearticle
Languageko
FieldSocial Sciences
TopicDiverse Topics in Contemporary Research
Canadian institutionsnot available
Fundersnot available
KeywordsRemedial educationPlaintiffProduct liabilityProduct (mathematics)LiabilityBusinessOrder (exchange)Actuarial scienceContributory negligenceDamagesState (computer science)LawLaw and economicsEconomicsPolitical scienceTortAccountingComputer scienceMathematicsFinance
DOInot available

Abstract

fetched live from OpenAlex

The manufacturers who make products by the negligence or who make the products on the chain of sale with defects would have product liability to the injuries of plaintiff. The manufacturers would take a subsequent remedial measures in order to make the products safe and to improve the performance of the products. However, there has been legal issues that the evidence of the subsequent remedial measures would be admissible as the evidence to prove the negligence of manufacturers or the product`s defects. Almost all Canadian courts have reached the decision that the subsequent remedial measures would be admissible in the discovery based on the notion that these have relevance with the issued matter. However the Canadian courts have had different decisions state by state on the admissibility of the subsequent remedial measures which introduced in the trial. In the United States, on the early stage of the product liability the courts had different decisions on this matter. However this issue was resolved by the enactment of the Federal Rule of Evidence § 407 which clearly describes that the evidence of subsequent remedial measures is not admissible to prove negligence, culpable conduct, a defect in a product, a defect in a product`s design, or a need for warning or instruction. But the Rule also describes that the subsequent remedial measures shall be admissible to prove ownership, control, or feasibility of precautionary measure, if controverted, or impeachment. Although the Rule was introduced, there have been so many cases, court decisions and academic articles related to the issue. After severe controversies and discussions, the Product Liability Act of Korea was enacted at 2002. In Korea the legal issues on product liability have usually focused on the requirements of the product liability, manufacturing defects, design defects and causation. There have been no court decisions and academic articles related to the product liability and subsequent remedial measures as evidence. Under the Korean legal system, there is no jury to decide the relevance of evidence. However, with the Principle of Free Evaluation of Evidence, the probative value of the evidence shall be left to the discretion of the judge. Therefore the subsequent remedial measures would be admissible to prove negligence, culpable conduct, a defect in a product, a defect in a product`s design, or a need for warning or instruction. Now it is the high time to review on the issues related to subsequent remedial measures under the Korean legal system. In addition, the cases, court decisions and academic articles related to the subsequent remedial measures in Canada and United States would be great helpful to review the legal issues on Product Liability Act in Korea.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.160
Threshold uncertainty score0.535

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0050.002
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.1600.075

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 head0.079
GPT teacher head0.393
Teacher spread0.315 · 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 designTheoretical or conceptual
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".

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Citations0
Published2010
Admission routes1
Has abstractyes

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