Decentering our analytical position: The dialogicity of things
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
Analyses of embodied interaction still appear to explicitly or implicitly defend a human-centered approach to language and body in the material world. In this article, we propose to decenter our analytical position by acknowledging what artifacts, tools and architectural elements contribute to human activities and practices. Starting from a ‘ventriloqual’ perspective on communication, we demonstrate that the accountable character of people’s activities presupposes a form of material agency that tends to be neglected in our analyses. Far from neglecting human beings’ contributions to their own activities, we show that this approach allows us to acknowledge their capacity to skillfully react and respond to what things indicate, say, or tell them to do. It is, we contend, in this back-and-forth process of actions and reactions that a certain dialogicity of things can be recognized. Decentering the analytical position by focusing on how things traceably contribute to shaping human interactions has, we contend, dramatic theoretical and methodological consequences. In the discussion we argue that resistance in taking a ventriloqual perspective to analyze the social life of things partially depends on its impact on the sensitive notion of responsibility.
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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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