Learning in Third Spaces: Community Art Studio as Storefront University Classroom
Bibliographic record
Abstract
Third spaces are in-between places where teacher-student scripts intersect, creating the potential for authentic interaction and a shift in what counts as knowledge. This paper describes a unique community-university initiative: a third space storefront classroom for postsecondary students in professional education programs, which also functions as a community art studio for the surrounding neighborhood. This approach to professional education requires an innovative combination of theory, methods, and materials as enacted by the professionals involved and performed by the students. This storefront classroom utilizes collaborative and inclusive instructional practices that promote human and community development. It facilitates the use of innovative instructional strategies including art making and participatory dialogue to create a liminal learning space that reconfigures professional education. In researching the effectiveness of this storefront classroom, we share the voices of students who have participated in this third space as part of their coursework to underscore these principles and practices.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".