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Record W2466103734 · doi:10.7202/1073762ar

Le rapport aux traitements médicamenteux chez des personnes atteintes d’un cancer incurable

2020· article· fr· W2466103734 on OpenAlexaffvenue
Suzanne Mongeau, Serge Daneault, Véronique Lussier, Louise Yelle

Bibliographic record

VenueFrontières · 2020
Typearticle
Languagefr
FieldHealth Professions
TopicHealth, Medicine and Society
Canadian institutionsHôpital Notre-DameMinistère de l’Emploi et de la Solidarité Sociale (Québec)
Fundersnot available
KeywordsHumanitiesMedicinePhilosophyGynecology

Abstract

fetched live from OpenAlex

À notre époque, l’expérience pharmacologique de la maladie cancéreuse est devenue d’une grande complexité. Cette étude poursuit comme objectif de mieux connaître et comprendre le rapport que des personnes affligées d’un cancer incurable entretiennent à l’égard des traitements médicamenteux. Un devis qualitatif faisant appel à une analyse de contenu par théorisation a été retenu. L’analyse de l’ensemble des récits révèle que le rapport développé par les sujets rencontrés à l’égard des traitements médicamenteux s’inscrit dans une logique de combat. Tout au long de la maladie, les sujets adoptent deux postures différentes à l’égard des médicaments. En guise de conclusion, des questions en regard de la structure des services offerts et en regard de l’intervention sont soulevées.

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)0.003
metaresearch head score (Gemma)0.015
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 score0.012
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.004
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.083
GPT teacher head0.364
Teacher spread0.281 · 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

Citations0
Published2020
Admission routes2
Has abstractyes

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Same venueFrontièresSame topicHealth, Medicine and SocietyFrench-language works237,207