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Record W4286216747 · doi:10.5737/23688076323375

Perceptions des professionnels de la santé quant aux soins oncologiques pédiatriques offerts en français à domicile : étude descriptive qualitative

2022· article· fr· W4286216747 on OpenAlexaffvenueabout
Julie Chartrand, Lindsay Jibb, Camille Grandmont, Élisabeth Hardy-Bélanger, Sara Y. Cheng, Rebecca Balasa, Donna L. Johnston

Bibliographic record

VenueCanadian Oncology Nursing Journal · 2022
Typearticle
Languagefr
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsOntario Centre of Excellence for Child and Youth Mental HealthUniversity of TorontoUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

But : Cette étude vise à comprendre les perceptions des professionnels de la santé quant aux soins oncologiques pédiatriques offerts à domicile en français. Méthodologie : Une étude descriptive qualitative a été menée à l’aide d’entrevues individuelles semi-dirigées faites auprès de 22 professionnels de la santé. Une analyse thématique des transcriptions a été menée de façon indépendante par deux membres. Résultats : Les soins oncologiques pédiatriques sont offerts en français surtout au Québec, alors qu’il y a un manque d’accès en Ontario. Les causes et les effets possibles de ce manque d’accès ainsi que les solutions sont discutés dans le présent article. Conclusion : Les perceptions recueillies dans la présente étude devraient être prises en compte pour s’assurer d’offrir des soins oncologiques pédiatriques à domicile de qualité en français. Mots-clés : prestation des soins de santé, oncologie, pédiatrie, soins à domicile, francophonie

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)0.005
metaresearch head score (Gemma)0.003
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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.108
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.003
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 head0.128
GPT teacher head0.500
Teacher spread0.372 · 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.

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

Citations2
Published2022
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Oncology Nursing JournalSame topicPalliative Care and End-of-Life IssuesFrench-language works237,207