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Record W4386280370 · doi:10.3917/bupsy.581.0209

Traitement de la symptomatologie dépressive concomitante à la maladie d’Alzheimer : étude de cas des effets d’une psychothérapie psychodynamique interpersonnelle

2023· article· fr· W4386280370 on OpenAlexaff
Stéphanie Bourassa, Émilie Tassé, Lise Gagnon

Bibliographic record

VenueBulletin de psychologie · 2023
Typearticle
Languagefr
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsPsychologyHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Cette étude de cas avait pour objectif l’exploration des effets d’une psychothérapie psychodynamique interpersonnelle sur les symptômes dépressifs d’une participante (nom fictif : Clara) atteinte d’un trouble neurocognitif dû à la maladie d’Alzheimer (TNMA). Les outils de mesure utilisés ont inclus la Dementia Mood Assessment Scale (DMAS) et la Cornell Scale for Depression in Dementia (CSDD). L’utilisation d’une mesure continue de la détresse a permis d’apprécier la présence de changements significatifs tout au long de l’intervention. Le modèle de psychothérapie adopté a fait l’objet d’un approfondissement sur le plan de ses fondements théoriques reliés à la pratique. Le contenu des échanges a été analysé en fonction de différents outils et objectifs associés à ce modèle. Une amélioration significative a été rapportée par Clara à la CSDD et la mesure est poursuivie. Une baisse significative à la DMAS et à la CSDD a été notée par le proche aidant. En conclusion les résultats semblent appuyer la pertinence clinique et scientifique du modèle de psychothérapie proposé.

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), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.415
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.003

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 head0.038
GPT teacher head0.378
Teacher spread0.340 · 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 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
Published2023
Admission routes1
Has abstractyes

Explore more

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