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Desempenho ocupacional de adolescentes de um Centro de Atenção Psicossocial Infanto-juvenil (CAPSI)

2014· article· pt· W2162578953 on OpenAlexaboutno aff
Diane Coelho Pereira, Andrea Ruzzi Pereira, Paulo Estevão Pereira, Érika Renata Trevisan

Bibliographic record

VenueRevista de Terapia Ocupacional da Universidade de São Paulo · 2014
Typearticle
Languagept
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
Fundersnot available
KeywordsPsychosocialPsychologyAffect (linguistics)Thematic analysisClinical psychologyDescriptive researchGerontologyMedicineQualitative researchPsychiatry

Abstract

fetched live from OpenAlex

Adolescence comprises the age group from 12 to 18 years old and is characterized by notable physiological, anatomical, psychological and social changes. Adolescents who suffer frommental disorders have some losses that can affect various aspects of life and result in diffi culty or impossibility in the occupational performance. This study aimed to analyze the occupational performance of adolescents who attend to one Psychosocial Care Center of Childhood and Adolescence and is characterized as an exploratory descriptive study of qualitative approach. The data was collected through the Canadian Occupational Performance Measure among 14 adolescents in treatment at the CAPSi of Uberaba - MG. The results revealed the main problems of occupational performance indicated by adolescents, related to the thematic categories: self-care, productivity and leisure. Personal and environmental factors of the adolescents have more influence in the occupational performance than the disease diagnosed.

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), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.399
Threshold uncertainty score1.000

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 studies0.0030.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.001

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 head0.036
GPT teacher head0.370
Teacher spread0.334 · 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

Citations6
Published2014
Admission routes1
Has abstractyes

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