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Record W2957993536 · doi:10.5737/23688076293177183

Expériences des soins de soutien des femmes atteintes de cancer du sein vivant en milieu rural : étude qualitative et description interprétative

2019· article· fr· W2957993536 on OpenAlexaffvenueabout
Joanne Loughery, Roberta L. Woodgate

Bibliographic record

VenueCanadian Oncology Nursing Journal · 2019
Typearticle
Languagefr
FieldHealth Professions
TopicPatient-Provider Communication in Healthcare
Canadian institutionsRed River College
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Au Canada, le cancer du sein est le type de cancer le plus fréquent chez les femmes. Malgré tout, la recherche s’est peu intéressée aux besoins en matière de soins de soutien des femmes des régions rurales aux prises avec cette maladie. L’objectif de la présente étude qualitative est donc de mieux comprendre les expériences de soins de soutien des Manitobaines qui vivent en milieu rural et qui doivent subir des traitements pour un cancer du sein invasif. Le phénomène a été exploré à l’aide d’un devis qualitatif, descriptif et interprétatif. Vingt femmes de quatre régies régionales de la santé ont participé à l’étude. Des entrevues semi-structurées conduites en personne ont permis de recueillir les données, qui ont par la suite été soumises à une analyse qualitative interprétative. Les résultats obtenus brossent un portrait holistique des expériences vécues par les femmes atteintes de cancer du sein qui reflète à la fois les aspects positifs et négatifs de la ruralité. Les recommandations pragmatiques, formulées à partir des résultats de l’étude, orienteront la pratique infirmière et la prestation des services.

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)0.003
metaresearch head score (Gemma)0.002
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 score0.395
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0030.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.199
GPT teacher head0.489
Teacher spread0.290 · 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
Published2019
Admission routes3
Has abstractyes

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