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Record W4213218739 · doi:10.3166/pson-2022-0184

Réflexion sur l’offre de services psychologiques en oncologie et soins palliatifs dans deux centres hospitaliers universitaires montréalais

2022· article· fr· W4213218739 on OpenAlexaff
Clarisse Defer, Marie Solange Bernatchez

Bibliographic record

VenuePsycho-Oncologie · 2022
Typearticle
Languagefr
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsCentre intégré universitaire de santé et de services sociaux de l'Est-de-l'Île-de-MontréalMcGill University Health CentreCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalHôpital Maisonneuve-Rosemont
Fundersnot available
KeywordsHumanitiesPalliative carePolitical scienceArtMedicineNursing

Abstract

fetched live from OpenAlex

Face au cancer et à la fin de vie, la détresse émotionnelle est courante et de mieux en mieux repérée, résultant en de nombreuses demandes de consultation vers nos services psychologiques spécialisés. Les auteures présentent une réflexion sur les différents facteurs qui guident leurs choix d’interventions auprès de la clientèle en oncologie et soins palliatifs rencontrée en contexte hospitalier, le défi étant d’offrir le bon soin au moment opportun à tous les patients en besoin et leurs proches. Le plan de traitement sera adapté selon la sévérité et la nature de la détresse, la nécessité d’intervenir rapidement, la préférence du patient, ses facteurs de vulnérabilité et de protection, tout en conservant à l’esprit que notre mandat de psychologue est circonscrit à l’oncologie et aux soins palliatifs. Cet article illustre que pouvoir recourir à une approche intégrative est précieux pour mieux répondre à la diversité des demandes reçues dans un contexte de temps et de ressources limités.

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)0.010
metaresearch head score (Gemma)0.024
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: none
Teacher disagreement score0.317
Threshold uncertainty score0.638

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.007
Scholarly communication0.0070.003
Open science0.0020.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0090.000

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 head0.019
GPT teacher head0.316
Teacher spread0.297 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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