Bibliographic record
Abstract
The stark, slanting, raw concrete walls of Landscape of Loss, Memory and Survival, reveal the essential performativity of Canada’s new National Holocaust Monument (NHM). Designed by architect Daniel Libeskind and opened in Ottawa in September 2017, the unexpected angles of the monument’s towering walls form six triangular “volumes” that constitute a deconstructed and elongated Star of David. Belarie Zatzman frames the NHM’s architecture, itself, as the foundation for conceptualizing an applied theatre project as she speculates about what it might mean to respond to the Holocaust from the present, in a specifically Canadian context. She draws on Rothberg’s concept of multidirectional memory as an approach for gathering participants’ multiple narratives as well as multiple communities’ responses to the Shoah. For Zatzman, the promise and challenge of applied theatre lies in the possibility of interacting with history, beyond passively consuming historiographic narratives. Thus, the article asks, how might applied theatre processes help shape our encounter with history and memory at the NHM as a performative, participatory, and pedagogical practice?
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.
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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.029 | 0.023 |
| Scholarly communication | 0.010 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| 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".