Evaluating Knowledge Production in Collaborative Water Governance
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
"Despite the crucial role of knowledge production in environmental decision-making, previous research provides limited practical insight into the knowledge-related outcomes that can be achieved through collaboration, or the associated determinants of success. In this multiple case study, knowledge production is analysed in a collaborative water allocation planning process in South Australia. A theoretical framework was developed and used to systematically evaluate and compare knowledge-related processes and outcome criteria across four planning catchments. Data sources included 62 semi-structured interviews, documents and personal observations. Most of the theorised outcomes were achieved across the cases; however, only one case had generated widespread acceptance among participants of the knowledge that was used to develop the water allocation plan. Comparing processes across the cases revealed key factors that influenced their outcomes. Ultimately, community participants across the cases had limited involvement in technical investigations, suggesting the need to re-examine expectations about the potential for joint fact-finding within collaborative processes that are limited in scope and duration and nested within broader state-driven processes."
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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 | 0.000 | 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 | 0.002 |
| 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