MEMORY FOR PICTURES AND WORDS AFTER A NATURAL DISASTER
Bibliographic record
Abstract
Abstract The pictorial superiority effect (PSE) is the finding that memory for pictures exceeds that of memory for matching words for people of all ages (Cherry et al., 2012). We examined free recall of line drawings and matching words in adults enrolled in the LSU Flood Study, an interdisciplinary study of disaster stress and cognition. We tested the hypothesis that disaster stress would be associated with deficits in memory for pictures and words. Participants were sampled from a three-parish (county) region of Baton Rouge, LA that was severely devastated by the 2016 flood (N = 202, age range: 18-88 years). They received multiple tests, including the Montreal Cognitive Assessment (MoCA; Nasreddine et al., 2005), and self-report measures of executive function and functional impairment (Barkley, 2011). Three groups were compared: (1) non-flooded adults as controls, (2) once-flooded adults with structural damage to homes and property in 2016, and (3) twice-flooded adults who had relocated to Baton Rouge because of catastrophic losses in Hurricanes Katrina and Rita and flooded again in 2016. Results yielded a PSE in free recall for all disaster exposure groups (p < 0.001). Follow-up analyses by age group revealed that older adults showed the same memorial advantage of pictures relative to words as did their younger counterparts across all disaster exposure groups. These results imply that single and multiple disaster exposures do not appear to disrupt cognition assessed with traditional, laboratory-based measures. This research was supported by a grant from the National Science Foundation (Award Number 1708090).
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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 | 0.006 |
| 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".