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Record W2730310636 · doi:10.1093/geroni/igx004.2477

WHO CLINICAL GUIDELINES ON INTEGRATED CARE FOR OLDER PEOPLE

2017· article· en· W2730310636 on OpenAlex
Jonathan Barratt, Bruno Vellas, Jessie L. Beard

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInnovation in Aging · 2017
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealth Systems, Economic Evaluations, Quality of Life
Canadian institutionsInternational Federation on Ageing
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

The added years of life being experienced so widely are one of the great achievements of the 20th Century. Ensuring they can be enjoyed in good health will be one of the biggest public health challenges of the first half of the 21st Century. It will require significant changes in the way health systems are designed, the way we deliver health care and long-term care. In 2015 WHO released the first ever World report on ageing and health and the Global Strategy and Implementation Plan on Ageing and Health that was adopted by the 2016 World Health Assembly. Both reflect a new conceptual model for Healthy Ageing that is built around the functional ability and intrinsic capacity of older people, rather than the absence of disease. While both identify strategies that can be taken by countries, they also emphasise the stark knowledge gaps that are a major barrier to global action. This Symposium brings together global experts in the area of muscle skeletal health, geriatrics and public health to discuss how the new WHO healthy ageing framework can be operationalized in clinical and primary health care settings.

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.

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)0.014
metaresearch head score (Gemma)0.019
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.211
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
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 head0.574
GPT teacher head0.554
Teacher spread0.020 · 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