The Causal Role of Attentional Bias in a Cognitive Component of Depression
Bibliographic record
Abstract
Cognitive theories have, for years, postulated the causal role of attentional biases in depression and low self-esteem. However, this assumption has been based predominantly on correlational findings. With the advent of attentional bias modification techniques (Mathews & MacLeod, 2002), it became possible to modify attentional bias experimentally. The purpose of this study was to ascertain whether negative attentional biases are trainable and causally linked to changes in important characteristics of depression, namely self-esteem. Participants completed negative attentional training and a stress induction task. Consistent with the diathesis-stress model, a combination of negative attentional biases and stress resulted in changes in self-esteem, which was used as an indicator of depression. The effects on self-esteem were specific to the type of stimuli used. These findings have important implications for our understanding of self-esteem, cognitive models of depression, and for the future of cognitive bias modification research in self-esteem and depression.
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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 | 0.002 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".