Building with the Community: Developing digital tools for engaging with the arts in Saskatchewan
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 May of 2019, a team led by the University of Saskatchewan Kenderdine Art Gallery received a Canada Council for the Arts Digital Strategy Fund grant to develop a digital service with Saskatchewan arts organizations to allow them to engage with and give voice to their audiences and other art creators. However, the exact deliverable was intentionally vague; rather than presupposing what this diverse group (from internationally recognized art galleries to community puppet theatres) needs, the grant was built around first engaging with both these organizations and their current and potential audiences in order to gain an understanding of their varied needs. Only once this assessment was done would the actual development begin. In this paper we will introduce the project, and the funding program that supported it, and describe the process of community consultation for both the development of the grant application and the needs assessment. We will introduce the findings from the first phase of the Shared Spaces project and the resulting first prototypes for arts engagement, which use augmented reality, that have gone back out to the communities for further consultation and refinement.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| 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