The silence of genocide and voice of survivors: the role of Holocaust memorials in education
Bibliographic record
Abstract
Through Holocaust memorials, visitors to the sites are able to educate themselves on past events. It is with the building of these memorials that the importance of memory within the Jewish community is constructed and how an understanding of genocide is defined. Memorials are a product of their time and space, and to comprehend this point, the thesis begins with the importance of nationalism and the making of nationhood in all its variations. It is also critical to understand what makes up a nation, the ethnic identity, and the community. Through a lens of public pedagogy, I explore what the Holocaust means for societies, communities, and myself. I do this by delving into the politics of the word “holocaust,” its various spellings, definitions, and enunciation and its multiple receptions and responses. Using autoethnography and Critical Discourse Analysis (CDA), I explore the variety of meanings, linguistic enunciations, and social contexts of being the granddaughter of a Holocaust survivor. I connect this exploration with an interrogation of the varied perspectives of (and in and through) collective memory and their relationships to identity formation and how people consider the various subjective and objective orientations to memorials on a continuum of the naively popular to the academically informed. Furthermore, my linguistic and social contextualization of materials draws on the selective use of an expansive secondary literature to provide an overview of the Holocaust in world history as well as Canada’s role during the Holocaust and public pedagogy and education to comprehend antisemitism. The main purpose of this thesis is to explore the nature of collective memory, public pedagogy, and education in and for public spaces. The thesis focuses on how these ideas fit into the notion of Holocaust memorials as critical educative tools. I conclude that informal sites of learning have the capacity to encourage questioning and critical understanding for people who engage with memorials. Memorials, as places of public pedagogy, have tremendous power to influence people through their aesthetic use of physical space and the multitude of ways to learning opportunities for participants. My final reflections in the thesis provide a multi-perspective analysis on the role of memorials in public pedagogy, and how they can provide a myriad of new ways to relook at the past, revisit the present, and reimagine the future.
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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 | 0.006 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.032 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".