Personal and Environment Factors Associated with Attraction to Tropical Urban Parks in Peninsular Malaysia
Bibliographic record
Abstract
There is increasing demand for urban parks as recreational areas amidst urbanization in Malaysia. Urban parks are the most readily accessible resource for interactions with nature across multi groups in many urban cities, including tropical cities. This paper reports a research conducted in 2013/2014 to determine the overall quality of visits and park users’ level of motivations in selected six public parks in Peninsular Malaysia. The result of this study which examined 2,139 park users’ in 2013/2014 level of motivation and overall quality of visit in selected six public parks in Peninsular Malaysia and the result shows that about three quarter of the users are youths between 17 and 36 years old. For the quality of visit attributes, park users rated “nature and environment” as the highest dimensions with mean score (M = 4.11). The statistical analysis showed that element of shadiness as an important factor for nature motivation. The common shadiness element experienced by urban park users were considered to be unique landscape and significantly different from Western and developed countries
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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 | 0.000 | 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 | 0.000 |
| 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".