<i>my office photograph</i> as the Mapping Site for a Transformational Museum Experience
Bibliographic record
Abstract
The photographic work titled my office photograph is the mapping site for the author’s theory of a transformational museum experience centered on a situated learning methodology. Over the 14+ years of its existence, the Art Gallery of Ontario’s Artist-in-Residence program has brought numerous emerging and established artists into the daily workings of the museum, inviting resident artists to explore and engage with the museum’s collections, staff, and public programs as they develop their projects. Support for a process of research-creation is fundamental to the opportunity offered by the residency. The author, as both practicing artist and museum arts professional, has played a key role in facilitating strategies for engagement and learning in the cumulative body of residency projects and their publics. Drawing on a personal connection to the work of Heather Goodchild, one of the artists-in-residence, and situating the author’s own research-creation as a “contemplative art work and artwork” within a museum residency and laboring framework, this paper provides an account of how the involvement of artists has shaped the trajectory for a more collaborative museum engagement methodology.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.069 | 0.011 |
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".