Bibliographic record
Abstract
Human societies worldwide are dealing with messy, wicked problems beyond the capacity of any one sector, community or nation to solve. In such complex, turbulent environments (Trist 1983) there is even a greater need for collaboration between sectors, communities, and countries to solve the dynamically interconnected problems human societies are now facing. The world must become committed to unprecedented interaction and sustained dialogue around these interconnected, and interdependent public policy issues, particularly sustainable development. Yet, the transaction costs of face-to-face meetings are high. Also, one has to question the sustainability of current modes of travel, particularly the air travel required to bring together stakeholders on a global scale. Synchronous on-line electronic dialogues (e-Dialogues) are an emerging way of transcending place and time constraints, with the capacity for sustained connectivity between communities worldwide and the more rapid dissemination of research and knowledge produced on the ground at the community level.
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 | 0.016 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.030 |
| Scholarly communication | 0.029 | 0.056 |
| Open science | 0.003 | 0.015 |
| Research integrity | 0.011 | 0.006 |
| Insufficient payload (model declined to judge) | 0.028 | 0.005 |
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".