Evidence-Based Assessment of Geometrical Staircase Configurations for Older Adults
Bibliographic record
Abstract
Maintaining safety for older adults aged 65 years and older is a challenge that could be addressed by applying conscious design. Accordingly, the concept of creating a home environment which enhances safety for older adults becomes essential. Considering that staircases vary widely in their geometrical configurations, this paper presents an evidence-based assessment for geometrical staircase configurations from the perspective of reducing the risk of falling for older adults. The methodology is divided into two stages: 1) identifying the most common geometrical home staircase configurations, which include U-shape stairs, quarter turn stairs, straight stairs with landing, straight stairs without landing, helical stairs, spiral stairs, and composite stairs; 2) investigating the associated risk of falling for each geometrical staircase configuration through developing an evidence-based comparison for the proposed geometrical staircase configurations. The output of this paper is a hierarchical listing for geometrical staircase configurations which is arranged from lowest to highest reduction in risk of falling for older adults.
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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 | 0.020 | 0.078 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.016 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".