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Record W3130502027 · doi:10.1177/1757975921989995

COVID-19, promotion and provision of palliative care: reaching out, accounting for linguistic diversity

2021· article· en· W3130502027 on OpenAlexaff
Bilkis Vissandjée, Isabel Sainz Fernández, Patrick Durivage, Zelda Freitas, Paule Savignac, Isabelle Van Pevenage

Bibliographic record

VenueGlobal Health Promotion · 2021
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsCentre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-JeanUniversité de MontréalCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal
Fundersnot available
KeywordsPalliative careContext (archaeology)General partnershipPromotion (chess)PandemicHealth literacyNursingDiversity (politics)Public relationsPublic healthHealth promotionHealth carePolitical scienceMedicineEconomic growthSociologyCoronavirus disease 2019 (COVID-19)PoliticsDiseaseLawGeographyInfectious disease (medical specialty)Economics

Abstract

fetched live from OpenAlex

The combined forces of economic globalization and international migration have resulted in specific challenges to palliative care systems. The COVID-19 pandemic has and is still greatly affecting elder populations as well as those across the age continuum living with long-standing chronic conditions or with pre-existing diverse unmet needs. While health promotion and palliative care may appear to be conceptually opposing fields, we argue that palliative care can and should fit under the umbrella of the health promotion continuum. This commentary seeks to discuss the importance of linguistic literacy and communication imperatives in the context of access to palliative care, given the broad, diversified and sensitive scope of care. While the pandemic has demonstrated that the public health responses of migrant host societies are deeply intertwined with policies as well as local rules and constraints, the promotion and provision of safe, timely and appropriate palliative care can be achieved through a sensitive assessment of differential contexts of diversity. The pandemic has painfully illustrated the need for a strong, respectful and equitable working partnership within the professions as well as with the civic society in order for the palliative needs of those exposed to a sustained risk not to be forgotten.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.470
Threshold uncertainty score0.623

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.087
GPT teacher head0.438
Teacher spread0.351 · 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 teacher head, 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

Citations3
Published2021
Admission routes1
Has abstractyes

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