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Record W4210487244 · doi:10.3917/rfas.214.0207

Les inégalités d’accès aux ressources par les réseaux personnels chez les patients atteints de cancer

2022· article· fr· W4210487244 on OpenAlexaff
Jean-François Barthe, Adrien Defossez

Bibliographic record

VenueRevue française des affaires sociales · 2022
Typearticle
Languagefr
FieldHealth Professions
TopicHealthcare Systems and Practices
Canadian institutionsInstitut National d'Excellence en Santé et en Services Sociaux
FundersAgence Nationale de la Recherche
KeywordsPolitical scienceGynecologyHumanitiesPhilosophyMedicine

Abstract

fetched live from OpenAlex

La littérature scientifique a montré que certaines catégories de patients parvenaient moins que d’autres à accéder aux ressources produites par le système de soins, comme l’information de santé par exemple. Nous nous sommes demandé dans quelle mesure l’aide apportée par l’entourage relationnel au cours de la maladie n’est pas soumise elle aussi à de fortes disparités selon les patients. À partir d’une enquête en cours ayant permis l’analyse de 18 parcours de patients atteints de cancer, nous montrons que l’accès aux ressources par les réseaux personnels est très inégal : certains malades vont pouvoir compter sur un entourage leur procurant des ressources nombreuses et variées, quand d’autres vont se retrouver totalement démunis de ce point de vue. Les caractéristiques des réseaux personnels des malades sont décrites ainsi que les types de ressources fournis par l’entourage. L’entourage relationnel, loin de permettre une réduction des inégalités d’accès aux ressources entre patients, participerait au contraire à leur production.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.702
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0170.002
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0120.000

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 head0.202
GPT teacher head0.432
Teacher spread0.229 · 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 designNot applicable
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

Citations2
Published2022
Admission routes1
Has abstractyes

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