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Record W2133832613 · doi:10.1017/s1355617712001105

The Impact of Semantic Dementia on Everyday Actions: Evidence from an Ecological Study

2012· article· en· W2133832613 on OpenAlexafffund
Nathalie Bier, Carolina Bottari, Carol Hudon, Sven Joubert, Guillaume Paquette, Joël Macoir

Bibliographic record

VenueJournal of the International Neuropsychological Society · 2012
Typearticle
Languageen
FieldPsychology
TopicAction Observation and Synchronization
Canadian institutionsInstitut Universitaire de Gériatrie de MontréalUniversité LavalInstitut Universitaire en Santé Mentale de QuébecCentre de réadaptation Lethbridge-Layton-MackayUniversité de Montréal
FundersCanadian Institutes of Health Research
KeywordsMeal preparationEveryday lifeMealDementiaPsychologyActivities of daily livingCognitive psychologyEcological validitySemantic memoryApplied psychologyCognitionMedicinePsychiatryDisease

Abstract

fetched live from OpenAlex

In theory, semantic memory may trigger and support the execution of everyday activities. This study explored this question by comparing three patients with semantic dementia to 40 normal controls performing different everyday activities. Participants were tested in their home using the Instrumental Activities of Daily Living Profile, an ecological measure of everyday functioning. Participants were informed that they had unknowingly invited two guests for lunch and should prepare accordingly. With these instructions, they dress to go outdoors, go to the grocery store, shop for food, prepare a hot meal, have the meal with the guests, and clean up after the meal. Performance was analyzed on the basis of four operations related to problem solving: formulate a goal, plan, execute, and verify attainment of the goal. Results indicate that compared to normal controls, two patients had significant difficulties and needed assistance with all operations of problem-solving, particularly while preparing a meal and cleaning up after the meal. One patient showed no difficulties despite severe semantic deficits. These results suggest that semantic deficits alone cannot explain the difficulties observed, but may contribute to some aspects of everyday actions such as those involved in everyday problem-solving.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.132
GPT teacher head0.437
Teacher spread0.306 · 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 teacher head, not a consensus.

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

Citations24
Published2012
Admission routes2
Has abstractyes

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