AGE-RELATED DIFFERENCES IN PROSPECTIVE MEMORY: TURKISH VIRTUAL WEEK (VW-TR)
Bibliographic record
Abstract
Introduction: Prospective memory, which involves remembering intended future actions, is a vital function in terms of autonomy, quality of life, and everyday functioning. The primary aim of this study is to examine how aging affects prospective memory performance; its secondary aim is to adapt a laboratory-based prospective memory task, Virtual Week, to the Turkish culture and investigate its efficacy across young and old age groups. Materials and Method: The study was conducted with 60 young (18–25 years) and 60 old (60–87 years) participants. Participants were included based on their results on cognitive screening tests (Montreal Cognitive Assessment, Activities of Daily Living Scale, Geriatric Depression Scale, and the Beck Depression Inventory). In addition, the Stroop and Trail Making tests were administered to measure executive functions. Finally, the laboratory-based prospective memory task Virtual Week was performed. Results: Virtual Week has been adapted to Turkish culture and shown to be reliable (Spearman–Brown: 0.82). ANOVA was conducted to analyze the effect of aging on the Virtual Week task, and the results showed that young adults were more successful than older adults in prospective memory tasks (p < .05). Conclusion: The results support the theory of the aging paradox in prospective memory, which suggests that older adults exhibit lower performance in laboratory-based prospective memory tasks. The findings are discussed in the context of the relevant literature. Keywords: Memory; Cognitive Aging; Executive Function; Young Adult; Aged.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".