MétaCan
Menu
Back to cohort
Record W2021140456 · doi:10.5737/1181912x144238243

Les arts visuels et la promotion de la santé du sein: Points de vue d’artistes

2004· article· fr· W2021140456 on OpenAlexaffvenue
Barbara Thomas, R. S. Marshall, Susan B. Gold Smith, Anne Forrest

Bibliographic record

VenueCanadian Oncology Nursing Journal · 2004
Typearticle
Languagefr
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Nous devons disposer de méthodes spécialement conçues si nous souhaitons répondre aux besoins de certaines populations en matière de promotion de la santé. Cette étude présente une approche pluridisciplinaire née des efforts coopératifs de personnes oeuvrant dans les domaines des sciences infirmières, des arts visuels et des études de la femme, le but de cette approche étant de promouvoir la santé du sein au moyen des arts visuels. L’objectif de cet article est de décrire le projet du point de vue des artistes, d’approfondir la compréhension de la santé du sein et de comprendre l’utilité des arts visuels en tant qu’outils de promotion de la santé. Nous avons adopté un protocole d’entrevue structurée et avons soumis les données d’entrevue à une analyse thématique. Les trois principaux thèmes qui se sont dégagés étaient les suivants: 1) un lien personnel fort avec le cancer du sein et la perception de la menace du cancer; 2) le besoin et le désir de promouvoir la santé au sein de la collectivité; 3) la nature unidimensionnelle du cancer du sein et de la santé du sein. Les entrevues ont révélé que les arts visuels constituent une méthode de promotion de la santé du sein à la fois novatrice et adaptative.

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)0.018
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.748
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0180.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
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 head0.293
GPT teacher head0.618
Teacher spread0.325 · 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; both teacher heads agree on what is shown here.

Study designOther design
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
Published2004
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Oncology Nursing JournalSame topicParticipatory Visual Research MethodsFrench-language works237,207