MétaCan
Menu
Back to cohort
Record W7153689882

Визначення поняття права фізичної особи на інформацію стосовно себе

2021· article· uk· W7153689882 on OpenAlexaboutno aff
С. П. Телешев

Bibliographic record

VenueScientific periodicals of Ukraine · 2021
Typearticle
Languageuk
FieldSocial Sciences
TopicWar, Law, and Justice
Canadian institutionsnot available
Fundersnot available
KeywordsLegislationFundamental rightsHuman rightsFreedom of informationData Protection Act 1998Information system
DOInot available

Abstract

fetched live from OpenAlex

The rapid development of the information society, a certain dependence of people on the modern way of life and not keeping up with the constantly emerging new types of actual legal relations, outdated rules of law, the legal science in civil law regulation of information rights requires some changes, improvements, adding of the new terminology.One of these types of “new” information rights is the right of an individual to information regarding himself.In this research, the author analyzes the current legislation of Ukraine on the existing rights of individuals to information regarding themselves, does the comparative analysis of the conceptual legal framework of US, Canada, China, Australia and South Africa with national standards for the implementation and protection of individuals’ rights to information regarding themselves.The author defines a universal and generalizing concept of the right of an individual to information regarding himself, its characteristics as a subjective right that meet modern challenges and current requirements of legal science, form an idea of the content of this right, and draw conclusions about the need for careful and in-depth studying of this type of right and further implementation it in the legislation.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.455
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.004
Science and technology studies0.0040.010
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0210.001

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 head0.029
GPT teacher head0.322
Teacher spread0.293 · 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; both teacher heads agree on what is shown here.

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
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueScientific periodicals of UkraineSame topicWar, Law, and JusticeFrench-language works237,207