Videos of things : speculating on, anticipating and synthesizing technological mediations
Bibliographic record
Abstract
In this paper we present Videos of Things: videos that portray the mediated, lived world of computational artifacts informed by postphenomenology. In a post-phenomenological understanding, things and us are interdependent in that they mutually shape each other. And as a whole, technology or designed things mediate the relations between our world and us. This can be a challenge for designers. Through the making of design videos, we explored narrative strategies for creating stories featuring technological mediation. These include humanness, patterns in time, and non-human ensembles. We reflect on how the videos at different stages of the design process have helped to a) speculate on technological mediated relationships, b) synthesize and reflect on qualitative data on technological mediation and c) anticipate technological mediation. The paper contributes different narrative strategies for design videos and the role these videos can play within a design process aimed at elaborating the mediated qualities of technologies.
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How this classification was reachedexpand
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".