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Record W2415501578

[International legal framework of elderly rights protection].

2014· article· en· W2415501578 on OpenAlexaboutno aff
Аслан Абашидзе, В. С. Маличенко

Bibliographic record

VenuePubMed · 2014
Typearticle
Languageen
FieldHealth Professions
TopicAging, Elder Care, and Social Issues
Canadian institutionsnot available
Fundersnot available
KeywordsPopulation ageingTreatySocial securityQuarter (Canadian coin)Human rightsAged populationPopulationPhenomenonPolitical scienceScale (ratio)Economic growthDevelopment economicsGeographySociologyLawEconomicsDemography
DOInot available

Abstract

fetched live from OpenAlex

Aging of the population is one of the dominant trends in the XXI century. It is expected that by 2050, more than a quarter of the world's population (27%) will be 65 years or older. Increase of older persons' proportion in the population of most countries entails a change in the scale and structure of morbidity requiring higher costs for medical care, social security, including pensions. Ageing appears on the international agenda for more than 30 years. The Human Rights treaty bodies rank the elderly as a vulnerable group, who are more susceptible to various forms of discrimination. However, there is currently no any international legal instrument specifically dedicated to the problems of protection of the elderly at a time when their discrimination and stigmatization is a very common phenomenon.

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)0.015
metaresearch head score (Gemma)0.019
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: Review · Consensus signal: none
Teacher disagreement score0.039
Threshold uncertainty score0.082

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.019
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.003
Science and technology studies0.0080.009
Scholarly communication0.0120.008
Open science0.0050.006
Research integrity0.0260.016
Insufficient payload (model declined to judge)0.0190.010

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 head0.034
GPT teacher head0.336
Teacher spread0.303 · 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
GenreReview

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

Citations2
Published2014
Admission routes1
Has abstractyes

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