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Record W4242569781 · doi:10.7202/1085105ar

Réflexions sur l’apport de la recherche inductive phénoménologique dans l’instaurationd’une culture de sécurité réelleet efficace en contexte de réadaptation

2010· article· fr· W4242569781 on OpenAlexaffvenue
Daphney St‐Germain

Bibliographic record

VenueRecherches qualitatives · 2010
Typearticle
Languagefr
FieldHealth Professions
TopicHealth, Medicine and Society
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsPhilosophyHumanitiesPolitical science

Abstract

fetched live from OpenAlex

Force est de constater que dans la littérature scientifique actuelle, les personnes ayant des handicaps physiques constituent une population souvent délaissée au niveau de la recherche sur la qualité des soins et la sécurité des patients. Au cours des dernières années, plusieurs études, majoritairement descriptives et utilisant une approche quantitative, se sont surtout penchées sur la sécurité des patients dans les hôpitaux de soins aigus. Pourtant, la situation des personnes dites « handicapées », de par le caractère global des soins que leur état de santé nécessite, appelle naturellement à une vision élargie du risque et de la sécurité dans leur milieu. Cet article expose comment une compréhension du handicap physique, une approche humaniste de soins et un cadre de migration des pratiques professionnelles soutenus par une approche inductive de recherche telle que la phénoménologie peuvent faciliter l’instauration d’une culture de sécurité réelle et efficace en réadaptation. Ces différentes perspectives s’inscrivent alors ultimement dans la promotion d’une pleine intégration et d’une participation sociale des personnes bénéficiant de soins de réadaptation.

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)0.104
metaresearch head score (Gemma)0.132
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesMetaresearch, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.292
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.1040.132
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0110.022
Insufficient payload (model declined to judge)0.0000.000

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 head0.350
GPT teacher head0.537
Teacher spread0.186 · 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 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

Citations0
Published2010
Admission routes2
Has abstractyes

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