Validação transcultural do teste de orientação da vida (TOV-R)
Bibliographic record
Abstract
Esta pesquisa descreve a validação transcultural e as qualidades psicométricas da versão revisada do Teste de Orientação da Vida (TOV-R). Esta escala avalia o construto de otimismo, em termos de expectativas em relação a eventos futuros. O TOV-R foi submetido a uma "backtranslation", estudo piloto e análise das propriedades psicométricas. Participaram desta pesquisa 396 estudantes universitários, que responderam ao TPV e ao Inventário de Depressão de Beck. Após 30 dias, uma sub-amostra aleatória de 48 sujeitos foi submetida a um reteste da escala. Os resultados mostraram uma correlação positiva significativa teste-reteste (r = 0,61) e uma consistência interna adequada (alfa = 0,68). O grau de otimismo foi preditivo de menor presença de sintomas depressivos (r = -0,42). Uma análise fatorial exploratória indicou a presença de um único fator composto por seis itens, que explicaram 39,78% da variância. Os resultados indicaram boas qualidades psicométricas de fidedignidade e validade para a versão brasileira do TOV-R.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.022 | 0.065 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".