Relationship between the Demographic Characteristics of Park Users and Park Based User Activities: The Case of Stanley Park and Queen Elizabeth Park
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The changing roles of urban parks to cover a wider range of functions have made the study of the park use and user characteristics necessary for the advancement of knowledge and contribution to policy decisions. This research examines the relationship between the demographic characteristics of park users and park based user activities. A survey was conducted to collect the requisite data for this research. A total of 374 and 351 park users were interviewed in Stanley Park and Queen Elizabeth Park respectively. The study showed that active park activities such as jogging and biking is mostly influenced by age and gender with the younger age group category dominating in these activities. On the other hand passive park activity such as enjoying scenery is mostly dominated by the adult population. The study further showed that most park users use Stanley Park and Queen Elizabeth Park for their recreational activities because of ecological benefits such as connection to nature, access to fresh air and aesthetics from the natural environment.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| 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 it