“You’re putting words in my mouth!”: Interaction as mutual ventriloquation
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
The accusation that someone is putting words in someone else’s mouth can be heard in everyday conversations, but what does this phenomenon reveal about the ways human beings communicate? This paper aims to show that it is useful to view putting words in someone’s mouth as a form of ventriloquation. By theorising this phenomenon, this paper explicates how people discover a version of what they said in their interlocutors’ mouths, and in turn react to these ventriloquations. Since this phenomenon is especially visible in conflict situations, this paper demonstrates the value of using a ventriloquial lens to study human interactions through a detailed analysis of a public dispute and a conflict mediation session. Thus, this paper shows how this lens can be used to gain insight into the communicative constitution of conflict as well as its resolution. More broadly, it proposes to conceive of interaction as a process of mutual ventriloquation and highlights the methodological, ethical, and political implications of this analytical move.
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 | 0.006 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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