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Record W2770890502 · doi:10.3406/caf.2017.3203

Les paradoxes du recours aux aidants familiaux. L’exemple des politiques de soutien à domicile dans le champ du handicap en France et au Québec

2017· article· en· W2770890502 on OpenAlexaboutno aff
Maryse Bresson, Lucie Dumais

Bibliographic record

VenueRevue des politiques sociales et familiales · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsRespite careSolidaritySociologyPerspective (graphical)Political scienceNursingMedicine

Abstract

fetched live from OpenAlex

The paradoxes of using family carers. The example of home care policies with regard to disability in France and Quebec. Using family carers is a topical matter due to ageing populations and questions, in a wider sense, the dynamic of assistance for people in public policies, including the disabled. Based on research recently conducted in France and Quebec with regard to “ non-residential” policies, this article proposes a comparative reading of responses to the challenges that use of carers brings in terms of institutional arrangements and sharing roles with regard to the disabled. Five paradoxes have been identified, putting the reciprocal accusations of “ disinvestment” into perspective. Public institutions and social or medical services cannot fully replace carers with their own modi operandi (affectivity, intimacy, proximity) and the State needs to take into account the realities of contemporary families (public solidarity, respite, aspirations).

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)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.145
Threshold uncertainty score0.380

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0130.028
Scholarly communication0.0070.003
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.138
GPT teacher head0.392
Teacher spread0.253 · 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

Citations5
Published2017
Admission routes1
Has abstractyes

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