Zakhor: a holocaust memorial museum for mourning and healing
Bibliographic record
Abstract
As the immediate connection grows between us and the Holocaust, society must seek solutions to the consequences of time in order to maintain a living and visceral connection to it, ensuring its enduring impact. This practicum project examines how the medium of the museum can be formulated to halt the descent of memory into history. Utilizing a combination of traditional Jewish mourning, healing and remembrance practices; memory theories and the architectural and spatial connections to memory, this project establishes how memories can be triggered, created and maintained through exhibition space. My research and following conclusions are informed by theorists including Alison Landsberg, Juhani Pallasmaa, Daniel Libeskind, Stephan Jaeger, David Dernie and Graeme Brooker. The combination and application of these theorists develop a case for an experiential museum space that utilizes specific and personal narratives to educate and connect visitors to the Holocaust, providing a means to continue its memory through the spatialization of memory theories. Some of the key theories that inform these decisions are that of prosthetic memory production through space; the implementation of mise-en-scene elements to enable strong sensory engagement and emotional affect; and the use of fragments and reflective space enabling visitors to embed and develop their own understanding of the exhibition’s narrative. These theories are implemented through elements including lighting, architectural form, transmedia, circulation, experientiality, narrative and exhibition tactics. The combination of research methods including a literary analysis, site and building analysis, precedent studies of relevant architectural projects and program analysis combine to inform the design proposal for the adaptive reuse of the Vancouver Unitarian Church. The use of an existing building and implementation of adaptive reuse practices further add to the palimpsest of memory engrained in this project, acting as a critical driver. The combination of the listed elements and theories creates a memorial museum that maintains the active memory of the Holocaust, promoting its continuing relevance and effect on society to this day, while also assuaging the pain associated with it.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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".