Examining the malleability of implicit views of aging in middle-aged and older adults.
Bibliographic record
Abstract
= 173). Implicit VoA were assessed using two computer-administered tasks: the Implicit Association Test and a lexical decision-making task. Data on implicit VoA were collected at baseline and two follow-up assessments over a 32-week period and analyzed using linear mixed-effects models. The results showed limited evidence of temporal changes or group differences regarding implicit VoA. However, participants with more positive baseline implicit VoA demonstrated greater improvements in explicit VoA, particularly in their awareness of age-related gains. Overall, explicit intervention approaches, such as the AgingPLUS program, can lead to substantial improvements in adults' self-reported VoA, although their effect on implicit VoA remains unclear. The findings underscore the importance of future interventions to (a) evaluate both explicit and implicit VoA and (b) tailor intervention designs to specific outcomes to achieve sustained, long-term positive changes in negative VoA. (PsycInfo Database Record (c) 2025 APA, all rights reserved).
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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 | 0.002 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".