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Record W2283803631 · doi:10.1080/13642987.2015.1128137

Conceptualising minimum core obligations under the right to health: How should we define and implement the ‘morality of the depths’

2016· article· en· W2283803631 on OpenAlexaff
Lisa Forman, Luljeta Caraoshi, Audrey R. Chapman, Everaldo Lamprea

Bibliographic record

VenueThe International Journal of Human Rights · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicHuman Rights and Development
Canadian institutionsUniversity of TorontoPublic Health Ontario
Fundersnot available
KeywordsMoralityCore (optical fiber)Human rightsRight to healthPolitical scienceLawEnvironmental ethicsLaw and economicsPsychologySociologyPhilosophyComputer science

Abstract

fetched live from OpenAlex

To prevent progressive realisation within resources from undermining both domestic and international responsibilities towards health, international human rights law institutions developed the idea that these rights hold an inviolable ‘core’ equivalent to essential health needs. Yet few aspects of this right and indeed of economic social and cultural rights have generated greater debate and unresolved questions than the core concept: Is the core fixed or moveable, non-derogable or restrictable, universal or country-specific? Is its function to guarantee specified bundles of the most essential health facilities, goods and services, or it is to require governments to act reasonably to progressively realize these minimal health entitlements? Is the concept legitimate in terms of international law? And what are acceptable methods to further develop the content of these entitlements and duties? This paper seeks to address several of these questions in light of the evolution of this concept in international law and human rights scholarship, focusing in particular on the development of core obligations in relation to the right to health.

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)0.036
metaresearch head score (Gemma)0.029
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.036
Threshold uncertainty score0.191

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0360.029
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0040.124
Scholarly communication0.0130.032
Open science0.0040.010
Research integrity0.0100.017
Insufficient payload (model declined to judge)0.0030.001

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 head0.135
GPT teacher head0.395
Teacher spread0.260 · 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".

Quick stats

Citations11
Published2016
Admission routes1
Has abstractyes

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