The Effect of Viewing a Landscape on Physiological Health of Elderly Women
Bibliographic record
Abstract
A quasi-experiment was undertaken to measure physiological characteristics of elderly women as they viewed different landscapes. Blood pressure and heart rate were monitored as elderly women living in a retirement centre viewed a natural landscape, a built landscape, and a control room with no view to the outside. Other characteristics of the individuals and the settings that have been shown to affect blood pressure and heart rate were controlled. The results indicated that, in all cases, viewing the natural landscape resulted in lower systolic and diastolic blood pressures and lower heart rates than those measured in the control room. Viewing the built landscape also had the general effect of lowering blood pressures and heart rates, but the effect was less consistent and the magnitude was smaller than that caused by the natural landscape. Lowering of blood pressure and heart rate have both been shown to be positively correlated with increased health and well-being, indicating the benefit of simply viewing a landscape. These results have important implications for design of housing for the elderly. Even if individuals are unable or unwilling to go outside, they can still benefit from seeing out into a landscape.
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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".