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
This research aims to develop a strategy to increase community participation in instigating a Detailed Spatial Plan (RDTR) for the Southern Region of Kota Denpasar to minimize deviations during its implementation.This research used a mixed method, preceded by a qualitative data collection, and then progressed to a quantitative data collection.Distribution of questionnaires aided both started in January and ended in May 2024.Three forms of analysis are used: qualitative descriptive analysis, interval analysis, and SWOT.Study findings show that the stage of community participation falls into the category of consultation level -the fourth step on Arnstein's participation ladder.This is included in the degree of tokenism category.Based on the internal-external (IE) matrix analysis results in SWOT, the position of community participation is in cell II.The appropriate strategy to be used is the growth and development strategy.At this stage, the required actions are either intensive (information, dissemination, strengthening regulations, and innovation) or integrative (controlling information, strengthening human resource capacity, and cooperation/partnership).This research also leads to a range of opportunities to conduct further studies discussing community participation in policy conformance, land utilization control, and the application of e-participation and partnership.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.007 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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