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Record W2953651514 · doi:10.1590/1413-82712019240202

Inventário Reno de Autoperspectiva RISP: Adaptação Transcultural e Evidência de Validade

2019· article· pt· W2953651514 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePsico-USF · 2019
Typearticle
Languagept
FieldPsychology
TopicCultural Differences and Values
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsPsychologyStructural equation modeling

Abstract

fetched live from OpenAlex

Resumo Esta pesquisa teve como objetivos a adaptação transcultural e avaliação das propriedades psicométricas da versão brasileira do Reno Inventory of Self-Perspective - RISP, instrumento que avalia a habilidade de tomada de perspectiva, compreensão de si mesmo enquanto construção contextual, por meio dos fatores enredado, centrado e transcendente. A amostra foi composta por 344 universitários (idade 21,1 ± 4,8; 64,2% mulheres). A estrutura interna foi estimada por meio do Exploratory Structural Equation Modeling (ESEM). Também se avaliou a invariância do modelo fatorial entre participantes do sexo masculino e feminino, indicadores de precisão e associação com variáveis externas: satisfação com a vida, fusão cognitiva, ansiedade, estresse e depressão. Os resultados revelaram a estrutura composta por três fatores, conforme hipótese teórica, com indicadores desejáveis de precisão. Foi demonstrado equivalência do modelo de medida ao avaliar participantes dos diferentes sexos, e associações correspondentes as perspectivas teóricas com as variáveis externas estudadas. Os resultados sugerem adequação da versão brasileira RISP.

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.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.477
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0150.006

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 head0.094
GPT teacher head0.371
Teacher spread0.277 · 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