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Contrafactual em pessoas com e sem indicativos de depressão

2025· article· W7130422920 on OpenAlexaff
Juliana Sarantopoulos Faccioli, Anik Barham Setti, Makilim Nunes Baptista, Hugo Ferrari Cardoso

Bibliographic record

VenuePsico · 2025
Typearticle
Language
FieldPsychology
TopicAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Canadian institutionsMcGill University
Fundersnot available
KeywordsSample (material)Research methodologySignificant difference

Abstract

fetched live from OpenAlex

O presente estudo objetivou investigar os pensamentos contrafactuais de pessoas com e sem indicativos de depressão, considerando a estrutura, direção da mudança, alvo da modificação e linhas de falha da realidade. Participaram 145 estudantes universitários, com média de idade 22,1 (DP = 4,84). A amostra foi dividida em dois grupos, de acordo com a pontuação no Inventário Beck de Depressão: pessoas sem indicativos de depressão e com indicativos de depressão. Os materiais utilizados foram o Inventário Beck de Depressão e um relato pessoal de uma situação negativa ou inesperada vivenciada no último ano. Participantes com indicativos de depressão descreveram mais relatos referentes a relacionamento afetivo, enquanto participantes sem indicativos de depressão descreveram mais relatos relacionados a situações acadêmicas. Participantes com indicativos de depressão tenderam a elaborar mais pensamentos contrafactuais e os pensamentos foram em maioria ascendente, aditivo, autorreferente e baseado em uma ação/inação.

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)0.001
metaresearch head score (Gemma)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.557
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.002

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 head0.021
GPT teacher head0.357
Teacher spread0.336 · 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 designNot applicable
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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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