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Record W2976956340 · doi:10.7202/1063690ar

Déclinaisons de la solitude : le recours aux temporalités chez les conjointes aidantes âgées

2019· article· fr· W2976956340 on OpenAlexaffvenue
Isabelle Van Pevenage, Chloé Dauphinais, Didier Dupont, Laurence Hamel-Roy, Valérie Bourgeois-Guérin

Bibliographic record

VenueSociologie et sociétés · 2019
Typearticle
Languagefr
FieldHealth Professions
TopicAging, Elder Care, and Social Issues
Canadian institutionsUniversité du Québec à MontréalConcordia University
Fundersnot available
KeywordsHumanitiesSolitudeArt

Abstract

fetched live from OpenAlex

Cet article relate comment s’exprime et se vit la solitude de personnes âgées qui vivent en couple avec une personne qui a besoin d’aide ou de soutien au quotidien ainsi que la manière dont les temporalités sont mobilisées lorsque cette solitude est évoquée. Relativement peu nommée au cours des entretiens, les analyses montrent que la solitude se retrouve pourtant dans de nombreux « plis » de l’existence de ces conjointes, et que l’expérience de la proche aidance multiplie les conditions de sa production. Pour supporter un présent lourd, de plus en plus dense, un présent imparfait, ces conjointes s’appuient massivement sur l’évocation d’un passé conjugal et d’une continuité identitaire. Quant au futur, synonyme de dégradation, il s’appréhende de manière complexe puisque, même épuisées, elles savent que c’est la disparition de l’autre qui les attend ainsi qu’une « nouvelle » vie dans laquelle elles auront à se reconstruire, seules.

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)0.002
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.005
Scholarly communication0.0030.002
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.313
GPT teacher head0.559
Teacher spread0.246 · 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 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

Citations7
Published2019
Admission routes2
Has abstractyes

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