Archival Collaborations: Using Theatre Archives to Teach Canadian Theatre History and Archival Literacy
Bibliographic record
Abstract
How can theatre archives be effectively utilized to teach about theatre? What opportunities do they pose for teaching in other disciplines? What considerations must archives staff make when providing access to theatre archives? This article aims to address such questions by providing an overview of an ongoing collaboration at Dalhousie University. For the past several years, the Dalhousie University Archives has collaborated with Dr. Roberta Barker of the Dalhousie Theatre Department on a course project in which students research production records from the Neptune Theatre fonds. This article outlines the pedagogical goals of the assignment and touches upon the challenges associated with using theatre archives to facilitate undergraduate learning and teaching. It also looks at another recent course project that used Neptune Theatre’s archives to teach core archival concepts to graduate students in the Dalhousie School of Information Management. In the process, it considers how the unique characteristics of theatre archives can enable multidisciplinary collaborations between archivists and university faculty.
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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 | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.015 | 0.007 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".