Boundary play and pivots in public computation: new directions in STEM education
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
In this paper, we introduce ‘‘public computation’’ as a genre of learning environments that can be used to radically broadenpublic participation in authentic, computation-enabled STEM disciplinary practices. Our paradigmatic approach utilizesopen-source software designed for professional scientists, engineers and digital artists, and situates them in an undilutedform, alongside live and archived expert support, in a public space. We present case studies in DigiPlay, a prototypicalpublic computation space we designed at the University of Calgary, where users can interact directly with scientificsimulations as well as the underlying open source code using an array of massive multi-touch screens. We argue that in sucha space, public interactions with the code can be thought of as ‘‘boundary work and play’’, through which publicparticipation becomes legitimate scientific act, as the public engages in the invention of novel scientific creation throughtruly open-ended explorations with pivotal elements of the code.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 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