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Record W4237418764 · doi:10.3138/cja.27.1.69

Can Canadian Seniors on Public Pensions Afford a Nutritious Diet?

2008· article· fr· W4237418764 on OpenAlexaffabout
Patricia L. Williams, C. Shanthi Johnson, Ilya Blum

Bibliographic record

VenueCanadian Journal on Aging / La Revue canadienne du vieillissement · 2008
Typearticle
Languagefr
FieldHealth Professions
TopicGlobal Health Care Issues
Canadian institutionsSaskatchewan HealthDalhousie UniversityUniversity of ReginaMount Saint Vincent University
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

RÉSUMÉ La présente étude a évalué si les pensions publiques du Canada (Sécurité de la vieillesse et Régime de pension du Canada) fournissaient aux aînés vivant en Nouvelle-Écosse (N.-É.) un revenu adéquat qui puisse leur permettre de bénéficier d'un régime alimentaire de base nutritif en 2005. Les revenus mensuels ont été comparés aux dépenses mensuelles essentielles de quatre types de ménages: 1) couple marié, 80ans et 78ans, en milieu urbain en Nouvelle-Écosse; 2) homme célibataire, 77ans, en milieu rural en Nouvelle-Écosse; 3) couple, 70ans et 65ans, en milieu rural en Nouvelle-Écosse; 4) veuve, 85ans, en milieu urbain en Nouvelle-Écosse. Le coût mensuel des quatre ménages étaient respectivement de 313,32$, 193,83$, 316,71$ et 150,89$. Les résultats ont indiqué que le ménage de chacun des célibataires manquait des fonds nécessaires pour respecter un régime alimentaire nutritif, tandis que la vie avec un partenaire semblait protéger contre un manque de ressources financières adéquates. Ces résultats illustrent le besoin d'améliorer les régimes de retraite du Canada afin de s'assurer que tous les aînés aient des ressources financières qui leur permettent de subvenir à leurs besoins essentiels, notamment en matière d'obtention d'aliments nutritifs, de prévention des maladies chroniques, et d'amélioration finale de leur qualité de vie.

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)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.238

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.004
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.001

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 head0.039
GPT teacher head0.297
Teacher spread0.258 · 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 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

Citations14
Published2008
Admission routes2
Has abstractyes

Explore more

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