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Record W4403585279 · doi:10.7202/1113793ar

Travailleuses sociales en milieu hospitalier pédiatrique : au coeur des délibérations éthiques complexes

2023· article· fr· W4403585279 on OpenAlexaff
Alexandra Paré-Tremblay

Bibliographic record

VenueTravail social. · 2023
Typearticle
Languagefr
FieldHealth Professions
TopicHealth, Medicine and Society
Canadian institutionsUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsHumanitiesPolitical scienceMedicinePhilosophy

Abstract

fetched live from OpenAlex

En milieu hospitalier pédiatrique, les travailleuses sociales jouent un rôle crucial au sein de l’équipe interdisciplinaire. Bien que leur implication auprès des familles s’avère très variée, une partie essentielle de leur travail est de représenter les souhaits des parents proches aidants auprès de l’équipe médicale et interdisciplinaire. Grâce au lien privilégié bâti entre les travailleuses sociales et les parents proches aidants, elles apparaissent les mieux placées pour amplifier la voix des parents d’enfants malades et actualiser leurs doléances en lien avec un partenariat plus assumé entre soignants et proches des soignés. Dans le monde complexe du travail social médico-pédiatrique, où les dilemmes éthiques ne sont pas rares, les travailleuses sociales se retrouvent bien souvent dans des positions délicates. À qui la travailleuse sociale doit-elle porter allégeance : la famille ou l’équipe médicale ? Comment les travailleuses sociales peuvent-elles trouver un équilibre dans ces situations éthiquement chargées et complexes ? En s’inspirant d’une vignette clinique élaborée à partir d’un amalgame de cas rencontrés en milieu hospitalier, l’autrice propose d’aborder ces questions à la fois fondamentales et en quête de nuances.

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)0.006
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 categoriesScience and technology studies, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.309
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0070.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0020.004

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 head0.107
GPT teacher head0.408
Teacher spread0.301 · 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 designNot applicable
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

Citations0
Published2023
Admission routes1
Has abstractyes

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