The Priorities of Landscape Architectural Elements and the Decision to Use City Park Spaces (Case Study: Somdej Phra Sri Nagarindra 84 Parks, Thailand)
Bibliographic record
Abstract
This article aims to prioritize and assess each architecture element to ensure its compliance with the users’ needs, leading to interaction, and holistic interrelation as well as systematic solutions. As a result, fundamental data, and needs for the landscape architecture elements, were collected using a structured questionnaire with residents living in Muang District, the main service district. A structured interview was conducted with current visitors to the park and collected data concerning physical components for collaborative analysis. Article findings suggested that the elements are ranked and put into three groups: Group 1, the element of providing access, Group 2, the element of leading to activities, and Group 3, the element of creating a good environment. Consistent and more frequent visits represent the success of a designer. The designer could prioritize and assess each component to ensure compliance with the users’ needs, leading to interaction, holistic interrelation, and systematic solutions.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".