Achieving Effectiveness in Stakeholder Participation Using the GIS-Based Collaborative Spatial Delphi Methodology
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
Environmental problems have spatial origins and consequences. Hence, effective stakeholder participation demands the integration of comprehensive facilities for understanding the spatial components that affect environmental change. This study develops the Collaborative Spatial Delphi (CSD) methodology to embed spatial thinking, conceptualise the dynamic mechanisms, and assess the effectiveness of the resulting participatory process. The CSD uses a collaborative geographic information system (GIS) and the Delphi procedure in a descriptive decision-making framework that integrates diverse stakeholder knowledge for spatial awareness, understanding, and negotiated outcomes. The CSD synthesises relevant theories to conceptualise the participation mechanisms, and an application of the methodology to urban green spaces planning in Montreal, Canada is presented. The results suggest that a deficiency in technical background is not a barrier to effective use of spatial technology in participatory planning. The methodology enhanced many spatial facets of the participation process and was evaluated as effective in achieving negotiated outcomes.
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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 | 0.006 | 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) | 0.000 | 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