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Record W3184966278 · doi:10.1097/nt.0000000000000492

Are You Prepared for the Decade of Healthy Aging 2020-2030?

2021· article· en· W3184966278 on OpenAlex

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueNutrition Today · 2021
Typearticle
Languageen
FieldMedicine
TopicNutrition and Health in Aging
Canadian institutionsResearch Institute for Aging
Fundersnot available
KeywordsCommonwealthMalnutritionHealthy agingCoronavirus disease 2019 (COVID-19)GerontologyPandemicPolitical scienceMember statesWork (physics)MedicineTask forceEuropean unionEconomic growthBusinessPublic administrationInternational tradeEconomicsInfectious disease (medical specialty)Disease

Abstract

fetched live from OpenAlex

The World Health Organization's Decade of Healthy Aging began in 2020. This article focuses on nutrition's role in healthy aging with examples of older adult nutrition programs in Canada, the European Union, and the United States, including work of the Canadian Malnutrition Task Force, the European Malnutrition in the Elderly Knowledge Hub, and the Commonwealth of Massachusetts Executive Office of Elder Affairs. These programs have integrated screening for frailty and malnutrition into older adult care across the spectrum of settings, which has become increasingly important during the global COVID-19 pandemic. This article demonstrates the important role of nutrition in promoting healthy aging.

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)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.764
Threshold uncertainty score0.328

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 head0.057
GPT teacher head0.373
Teacher spread0.316 · 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