Barriers to Using, Customizing, and Printing 3D Designs on Thingiverse
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
Thingiverse is the largest 3D design-sharing online community with millions of users. Thingiverse provides a low-barrier-to-entry for exploring 3D printing as users can quickly download premade 3D designs and ask design-specific questions. In this paper, we investigate users' activities on Thingiverse and their conversations by using quantitative and qualitative analyses. Our findings shed light on various barriers in using, customizing, and printing premade 3D designs. The results suggest that although Thingiverse plays a key role in helping users get started with basic 3D printing, there are many opportunities to streamline the design-download-customize-print workflows. In particular, opportunities exist for designers to provide richer metadata, clarifications, and expert tips to help users succeed in printing objects and customizing existing 3D designs.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it