Bibliographic record
Abstract
The future of sustainability is tied to the future of our ability to manage interconnectedness and interdependence, and thus to our abilities to engage in cooperative, value-creating public deliberations and negotiations. To understand these issues, we need a better understanding of the micro-politics of planning and public participation, the relationships between our received theories and our practices, and in particular, the work of public dispute resolution and its implications for democratic deliberation and governance. We need better to understand the differences between dialogue, debate, and negotiation, as well as the corresponding work of facilitating a dialogue, moderating a debate, and mediating an actual negotiation. Contrasting processes and practical attitudes of dialogue, debate, and negotiation can teach us, in the context of creating a sustainable future, that we must devise discursive and conversational political processes and institutions that explore possible commitments so that we not only know the right things to do but actually bring ourselves and one another to do those right things.
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.
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 | 0.140 | 0.152 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.018 | 0.097 |
| Scholarly communication | 0.029 | 0.035 |
| Open science | 0.007 | 0.028 |
| Research integrity | 0.016 | 0.017 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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".