Locus of Control Associations with Autobiographical Memory as Measured by Free and Directed Memory Recall
Bibliographic record
Abstract
Reduced specificity of memory retrieval has been explained by self-ruminative thinking. However, the relationship between autobiographical memory and other psychological variables has been less frequently assessed. The relationship between personality variables and memory retrieval could also vary in function of task requirements. The main aim of this work was to explore personality traits related to self-perceptions that could explain a specific trend of retrieval: Locus of Control, Self-Valoration, Life Satisfaction and Rumination. Furthermore, these relationships were explored under directed and free recall conditions. From the analysed variables, an Internal Locus of Control explained significantly specificity of recall in both conditions (free and directed recall). Rumination was explained by Life Satisfaction and specific memories obtained under free-recall conditions. These results suggest that probable effects of Locus of Control and self-perceptions on specificity of memories should be considered for its inclusion on memory search explicative models.
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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 | 0.001 | 0.008 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".