A Year of Interaction Around Town: Gathering Traces with an Interactive Knitting Machine and Community Stitch Markers
Bibliographic record
Abstract
Devices for digital fabrication are becoming increasingly smaller and more portable, enabling digital fabrication research to move into new environments. In this exploratory research-through-design project, we aimed to physicalize data on-the-go using a portable digital fabrication device, and gathered community annotations and traces of the journey the machine went on with "stitch markers". We describe the development of The Life of a Small Town, a portable knitting machine that was adapted to knit rows of stitches in response to sensor data. The machine travelled throughout a small town and "popped up" at local art events to sense and physicalize social gatherings held by an arts organization over the period of one year. Individuals participating in events could also decorate their own "stitch markers" to annotate and pin to the data. In this paper we discuss the insights from an analysis of the stitch markers and traces of the year-long journey.
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".