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Record W2898405229 · doi:10.28984/drhj.v2i0.174

La maladie d’Alzheimer et ses conséquences sur les dimensions de la santé de la personne

2018· article· fr· W2898405229 on OpenAlexaffvenue
Mathieu Rheault-Henry, Alannah Hawes, Emily Léger, Georges Kpazaï

Bibliographic record

VenueDiversity of Research in Health Journal · 2018
Typearticle
Languagefr
FieldHealth Professions
TopicAging, Elder Care, and Social Issues
Canadian institutionsLaurentian University
Fundersnot available
KeywordsHumanitiesPsychologyPhilosophy

Abstract

fetched live from OpenAlex

Aujourd’hui, on estime mondialement que près de 50 millions d’individus sont atteints de la maladie d’Alzheimer. Ce nombre doublera presque chaque 20 ans pour atteindre un nombre de près 75 millions de personnes en 2030 et 131,5 millions en 2050. De plus, la maladie d’Alzheimer a des conséquences sur toutes les dimensions de la personne humaine. La présente étude, qui découle d’une recherche de type « analyse documentaire », discute de ces conséquences sur quatre dimensions intrinsèques de la santé jugées les plus importantes, à savoir a) la dimension sociale, b) mentale, c) physique et et d) émotionnelle. L’état actuel de l’impact de la maladie d’Alzheimer sur ces dimensions, de même que les perspectives de stratégies d'intervention auprès des individus atteints de cette maladie, sont aussi abordés.
 

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 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)0.041
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.278
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0410.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0060.005
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.006
Insufficient payload (model declined to judge)0.0010.000

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 head0.209
GPT teacher head0.524
Teacher spread0.315 · 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; both teacher heads agree on what is shown here.

Study designQualitative
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

Citations0
Published2018
Admission routes2
Has abstractyes

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