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Record W4389739646 · doi:10.4000/revss.10569

Le numérique favorise-t-il l’accès aux services essentiels aux aîné·e·s québécois·es ?

2023· article· fr· W4389739646 on OpenAlexaboutno aff
Julie Castonguay, David Pellerin, Laurence LeBrun, Mathilde Perron, Anne-Laurence Savoie, Marie-Ève Bédard, Carmen Lemelin

Bibliographic record

VenueRevue des sciences sociales · 2023
Typearticle
Languagefr
FieldHealth Professions
TopicAging, Elder Care, and Social Issues
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

Pour que les personnes âgées de 65 ans et plus puissent vivre et vieillir chez elles le plus longtemps possible, le maintien de leur santé est primordial. Pourtant, elles sont confrontées à des difficultés d’accès à des services essentiels, tels que l’approvisionnement en aliments et en médicaments. Des technologies numériques visent à favoriser leur accès, mais y contribuent-elles vraiment ? Cet article fait part d’une réflexion qui s’appuie sur les résultats d’un programme de recherche dans lequel ont été identifiés des freins et des leviers à l’utilisation de deux services en ligne chez les personnes aînées du Centre-du-Québec : une plateforme d’épicerie et un dossier MaSanté de la pharmacie. Parmi les freins et les leviers identifiés, certains sont associés aux personnes aînées et d’autres aux services en ligne. De ces résultats, émerge à son tour la question du pouvoir d’agir des personnes aînées (sont-elles en mesure d’utiliser ces services pour s’approvisionner en aliments et en médicaments ?) et, corollairement, à leur volonté d’agir (veulent-elles utiliser ces services ?), voire à leur devoir d’agir (se trouvent-elles contraintes de les utiliser ?).

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.263
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
Science and technology studies0.0110.007
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.002

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 head0.191
GPT teacher head0.424
Teacher spread0.233 · 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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueRevue des sciences socialesSame topicAging, Elder Care, and Social IssuesFrench-language works237,207