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Record W3171298450 · doi:10.6000/1929-4409.2021.10.73

Protection of the Right to Information on One’s Health – A Non-Jurisdictional Form of Protection

2021· article· en· W3171298450 on OpenAlexvenueno aff
Nataliia Khodieieva, Mykola Yasynok, Yurii Kuryliuk, Станіслав Філіппов, Alla Zemko, Dmytro Yasynok

Bibliographic record

VenueInternational Journal of Criminology and Sociology · 2021
Typearticle
Languageen
FieldMedicine
TopicLegal, Health, Environmental and COVID-19 Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsRight to healthAppealHealth protectionHealth informationData Protection Act 1998LawBusinessPolitical scienceComputer securityMedicineComputer scienceEnvironmental healthHuman rightsHealth care

Abstract

fetched live from OpenAlex

The article analyzes the theoretical aspects of protection as directly subjective civil rights and defines them within the framework of civil relations regarding the information on one's health. A clearer and complete description of the features of the realization of the right to information on one's health in the normatively established system of protection of subjective rights of a person has been obtained. It has been determined that the protection of the right to information on one's health is exercised freely, and the failure of a person to exercise the right to protection is not a ground for termination of this right. It is noted that during the protection of their violated right to health information, the authorized person may perform certain actions that are not related to the appeal to the competent state bodies and are a non-jurisdictional form of protection. The list of actions of an individual to protect the right to information on one’s health in the case of a non-jurisdictional form of protection of the above-mentioned right has been systematized.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.775
Threshold uncertainty score0.189

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.047
GPT teacher head0.320
Teacher spread0.273 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations1
Published2021
Admission routes1
Has abstractyes

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