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Record W2000226557 · doi:10.3917/inka.142.0049

Le sentiment de finitude de vie et les stratégies de coping face à l'annonce d'un cancer

2014· article· fr· W2000226557 on OpenAlexaff
Maria Goreti Da Rocha Rodrigues, Pauline Roos, Maya Shaha

Bibliographic record

VenueRevue internationale de soins palliatifs · 2014
Typearticle
Languagefr
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesPhilosophyPolitical sciencePsychology

Abstract

fetched live from OpenAlex

Le cancer digestif est une maladie qui s’accompagne de nombreux décès. L’annonce d’un tel diagnostic engendre une crise existentielle composée d’un sentiment de finitude de la vie. Des réactions psychosociales accompagnent cette mauvaise nouvelle. Un concept particulier appelé le transitoriness est omniprésent. La personne lutte pour continuer à vivre. Elle adopte des stratégies de coping pour s’ajuster aux difficultés imposées par ce sentiment de finitude de vie. Les professionnels de la santé doivent être sensibilisés aux spécificités du transitoriness et aux facteurs influençant l’utilisation de stratégies de coping efficaces afin de détecter les personnes vulnérables et de cibler leurs interventions de soins pour diminuer le risque de détresse et son impact sur la qualité de vie du patient.

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)0.001
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
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 head0.088
GPT teacher head0.402
Teacher spread0.314 · 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

Citations5
Published2014
Admission routes1
Has abstractyes

Explore more

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