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Record W2100902667 · doi:10.7202/706560ar

L’implantation d’un système informatisé des dossiers de service social en milieu hospitalier

2005· article· fr· W2100902667 on OpenAlexaffvenue
Georgette Béliveau, Martin Poulin, Ginette Beaudoin

Bibliographic record

VenueService social · 2005
Typearticle
Languagefr
FieldSocial Sciences
TopicInformation Systems Theories and Implementation
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Cet article rapporte les résultats d'une recherche portant sur le processus d'implantation de l'informatisation des données de service social en milieu hospitalier. L'implantation de l'informatique a été étudiée dans quatre cliniques pédiatriques d'un centre hospitalier. Il s'agit d'une étude longitudinale, d'une durée de trois ans et qui se classe dans la catégorie des études descriptives à caractère exploratoire. Cette étude de cas, de nature qualitative, vise principalement à observer le phénomène d'implantation tel qu'il se déroule. Les auteurs présentent d'abord leur modèle théorique des phases d'implantation, puis la collecte et l'analyse des données. Enfin, la conclusion fait ressortir ce qu'il semble pertinent de retenir de cette expérience.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.056
metaresearch head score (Gemma)0.133
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score0.296

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0560.133
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0080.007
Science and technology studies0.0040.004
Scholarly communication0.0120.011
Open science0.0020.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.002

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 head0.015
GPT teacher head0.298
Teacher spread0.283 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2005
Admission routes2
Has abstractyes

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