Exploring the Composite Intentionality of 3D Printers and Makers in Digital Fabrication
Bibliographic record
Abstract
In this paper, we identify new relationships between technologies and people in the context of digital fabrication. Our research applies a postphenomenological lens to understand and identify such relationships by using the concept of intentionality, an idea that relates to how humans and technologies, in their corporeal sense, direct themselves at the world rather than their purpose of action. We conducted a study wherein we first modified four 3D printers that highlight technological intentionality by either reducing, redirecting, reshaping, or redistributing the CAD model and filament of a given print. Next, experienced makers were invited to print models with one of four printers and reflect upon the effects of the coupling between their intentionality and that of the 3D printer. We contribute descriptions for new ways to frame human-technology relationships within the context of digital fabrication and highlight three relationships with machines: anticipatory, itineration and resistance, and their implications.
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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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.022 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 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 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".