Decentering our analytical position: The dialogicity of things
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.
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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 | 0.028 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.001 |
| Science and technology studies | 0.009 | 0.133 |
| Scholarly communication | 0.019 | 0.030 |
| Open science | 0.004 | 0.015 |
| Research integrity | 0.006 | 0.011 |
| 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".