Gender Variations in Wellbeing Indicators between Urban and Mountain Landscape Environments
Bibliographic record
Abstract
<p class="1Body">The issue of variations in physiological indicators of wellbeing based on gender serves as incentive for natural landscape environment interactions. This study examined gender variations in blood pressure, pulse rate and respiratory rate between contact with low-altitude urban (pretest) and mountain landscape environments (posttest). To attain the goal of this study, 38 respondents (16 males, 22 females) participated in the seven-day experimental study. Pretest and posttest measures of blood pressure, pulse rate and respiratory rate were elicited from both male and female respondents at the urban environment within the first three days and at the mountain landscape environment the following three days. Results show that both male and female systolic blood pressure increased at the mountain landscape environment while their diastolic blood pressure reduced marginally. There was no difference in gender response in terms of pulse rate. Conversely, male respondents experienced reduction of respiratory rate at the mountain landscape environment while female respondents experienced increase. Findings suggest that the only apparent difference in gender response is in their respiratory rate. The extent to which gender might be related to physiological wellbeing through contact with natural mountain landscape environment is revealed. Hence, a platform is set for policy makers and governments for the creative harnessing of mountain landscape environments.</p>
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".