Bibliographic record
Abstract
Those engaged in transdisciplinary work and collaboration will encounter both positive and negative conflict. People can deal with negative conflict using violence or nonviolence. Violence is power over people, but nonviolence is power from within. Successful resolution of complex, wicked problems will require people to make significant changes in their human behavior. Nonviolence is proposed as a key element of this behavioral change. This paper brings the Gandhian notion of nonviolence to transdisciplinary discourse (i.e., communicating and exchanging thoughts and ideas with the intent to integrate into new knowledge). The objective of nonviolence is not to win or beat an opponent but to stop an injustice and change the situation. This entails learning and mastering the principles of nonviolence, which include several key concepts addressed in the paper: Satyagraha, seeking the Truth, self-discipline, self-sacrifice, suffering, no harm, resistance, and right actions.
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 | 0.029 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.020 | 0.058 |
| Scholarly communication | 0.021 | 0.030 |
| Open science | 0.002 | 0.028 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".