The Intersecting Influence of Age and Performance Stereotypes on Physical and Psychological Aspects of Stair Navigation in Older Adults
Bibliographic record
Abstract
Negative age-stereotypes can have widespread effects on older adult functionality; however, no research has explored psychophysical aspects of stair navigation after exposure to stereotype priming. The present study examined self-efficacy and biomechanics related to stair navigation in older adults ( N = 90). Between-groups analyses revealed positively primed older adults ascended and descended the stairs significantly faster with greater velocity in the medio-lateral plane than older adults who received a negative prime or controls ( p < .017). Moreover, negatively primed older adults rated their stair self-efficacy significantly lower compared with the control and positively primed groups ( p < .017). These results suggest positively primed older adults can navigate stairs with more confidence, quickness, and efficiency. With implications for interventions aimed at maintaining older adult functionality, the present study highlights the potential benefits of positive age-stereotypes, especially related to challenging physical tasks.
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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) | 0.001 | 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".