Triangulation of self-report and investigator-rated coping indices as predictors of psychological stress: A longitudinal investigation among public utility workers
Bibliographic record
Abstract
The aims of the present study were to: (a) determine if self-reported coping is consistent with conceptually-equivalent investigator-rated coping indices; (b) establish which types of coping are associated with psychological stress; and (c) establish whether using investigator-rated in addition to self-report coping indices to predict stress outcomes is beneficial in a real life context of worker's stressors. To fulfil these aims, a longitudinal investigation was conducted among 40 Canadian workers from the public utility sector. Results from semi-structured interviews about their worst current stressors revealed main effects for some coping types as assessed with investigator-rated indices, whereas no main effects were observed with self-report coping indices. Still, self-report and investigator-rated coping indices together significantly predicted follow-up stress. Psychological stress was most strongly predicted by investigator-rated behavioural approach. While self-report cognitive approach predicted lower psychological stress, investigator-rated cognitive approach predicted greater stress. Findings underline the importance of using both types of coping indices to predict outcome.
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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 | 0.006 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".