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Record W2102868067

EFEITOS DA INTERVENÇÃO EM GRUPO DE ATIVIDADES DE VIDA DIÁRIA PARA PESSOAS COM SEQUELAS DE ACIDENTE VASCULAR ENCEFÁLICO

2014· article· pt· W2102868067 on OpenAlexaboutno aff
Daniel Marinho Cezar da Cruz, Patrícia Piassi, Mariana Midori Sime, Natália Sanches Silva, Fabia Eloína Oliveira Vasconcelos

Bibliographic record

VenueRevista brasileira de neurologia e psiquiatria · 2014
Typearticle
Languagept
FieldSocial Sciences
TopicYouth, Drugs, and Violence
Canadian institutionsnot available
Fundersnot available
KeywordsActivities of daily livingStroke (engine)Functional Independence MeasureRehabilitationBarthel indexPsychologyChronic strokeMedicineIntervention (counseling)Physical therapyPhysical medicine and rehabilitationPsychiatry
DOInot available

Abstract

fetched live from OpenAlex

Introduction: a stroke is described as neurological deficit occurring when there is an interruption of the blood supply and nutrients to a specific area of the brain resulting in brain injury. Limitations caused may interfere with the potential independence of individuals requiring rehabilitation with the goal to make the patient with hemiplegia as independent as possible in their daily routine. Objective: To investigate the effects of a group intervention for Activities of Daily Living (ADL) composed of six people after a stroke. Method: experimental design with pre-and post-test. The Barthel Index (BI) and Canadian Occupational Performance Measure (COPM ) were used to measure the independence and satisfaction. Results: we observed an increase in independence, performance and satisfaction in performing ADL for all participants on BI and COPM. Conclusion: It was possible to identify the effectiveness of training ADL of patients with impairments after a chronic stroke. We suggest further studies covering different intervention goals.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.004
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.047
GPT teacher head0.331
Teacher spread0.284 · 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
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueRevista brasileira de neurologia e psiquiatriaSame topicYouth, Drugs, and ViolenceFrench-language works237,207