The Paradox of Multistakeholder Collaborative Roundtables
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 study examines the outcomes of a large-scale Multistakeholder Collaborative Roundtable (MCR) on environmental protection. The findings shed a considerably more realistic light on the concrete outcomes of MCRs than does the image portrayed by the literature and some practitioners. We observed that consensus was achieved, albeit on general principles only. Various types of learning did occur, but they were limited to networking competencies. Problem solving was detected, albeit in the form of incremental innovation only. Overall, the major result of the MCR studied was that it contributed “small wins” to its initial grand objective. The case illustrates the paradox of MCRs. It teaches us that we should be cautious about their real potential to help solve complex collective problems. Yet, it shows that MCRs do serve a useful purpose, that of giving direction to “metaproblems, ” a result that apparently can hardly be attained otherwise.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.004 | 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