MétaCan
Menu
Back to cohort

Avaliação dos aspectos da Personalidade em pessoas idosas na cidade de São Paulo por meio do Rorschach Performance System (R-PAS)

2017· article· pt· W2766204134 on OpenAlexaff
Terezinha A. de Carvalho Amaro, Kelsy Catherina Nema Areco, Regina Sonia Gattas do Nascimento

Bibliographic record

VenueRevista Kairós Gerontologia · 2017
Typearticle
Languagept
FieldPsychology
TopicPsychological Testing and Assessment
Canadian institutions123 Certification (Canada)
Fundersnot available
KeywordsHumanitiesPsychologyArt

Abstract

fetched live from OpenAlex

A proposta deste estudo é identificar aspectos da personalidade que predominam em uma amostra de idosos. Foram avaliadas cinquenta pessoas com idades entre 60 e 85 anos residentes na cidade de São Paulo e sem história psiquiátrica. Comparado à amostra normativa internacional de adultos, foi possível verificar uma visão mais simplista e distorcida da realidade, embora sem confusão de pensamento, além de dificuldade cognitiva e necessidade maior de estimulação diante das demandas do ambiente.

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)0.002
metaresearch head score (Gemma)0.006
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.058
Threshold uncertainty score0.115

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0000.000
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 head0.098
GPT teacher head0.370
Teacher spread0.271 · 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

Citations5
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueRevista Kairós GerontologiaSame topicPsychological Testing and AssessmentFrench-language works237,207