Mediation of cognitive interference on depression during the Russo-Ukrainian war in three national samples
Bibliographic record
Abstract
Media coverage of large-scale violence can result in interfering thoughts and depression. This research investigates the relationship between interfering thoughts and depression when watching the Russo-Ukrainian war. In the theoretical model, the more the war is watched, the more it is related to interfering thoughts, which are related to depression. With the ongoing pandemic, depression, when watching the war, was related to coronavirus threat. Data was collected online from April to June, 2022, with university students in Germany, Finland, and Canada ( N = 865). Path analysis results in each sample showed that the model fit the data with sample-specific modification indices. There was full mediation of watching the war by interference on depression, indicating that it is not watching the war, per se, but rather its relationship to cognitive interference, that is associated with depression. Denial and coronavirus threat were positively related to depression. Implications for research and student support are considered.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".