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
If you feel like the world has gone to hell in a handbasket, you’re not alone. If you often feel there’s nothing you can do about it, you’re also not alone. Along with this increasing anger, fear, and frustration, much confusion still prevails on the appropriate communication practices for responding to difficult situations and improving our lives. Communication experts Robert Danisch and William Keith explain why and how we can practice radical civility in this practical guide to everyday “political” communication. This guide begins with examples of radical civility to show the potential of this kind of communication to change minds and bridge differences. The authors then unpack the three foundational principles of radical civility as useful theoretical tools for thinking throughout interactions with others in civic spaces. This is then followed by a three-step process for practicing radical civility drawing on research into active listening and its importance for creating connections, validating other views, and opening up possibilities for future conversation. The guide concludes with evidence-based communication practices and prescriptive recommendations for how to do each and show examples of each in action. Radically Civil: Saving Democracy One Conversation at a Time is a much-needed communication-based antidote to polarization, preparing students, researchers, and community leaders to be responsible participants in today’s society.
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 | 0.000 | 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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 it