Bibliographic record
Abstract
Since the 1950s, dozens of new Jewish Museums have sprouted up across the \nNorth American landscape portraying various elements of Jewish history and culture. \nWhile some have broadly focused on the entire history of the Jewish people, others have \nnarrowed their scope to memorializing the Holocaust or the experiences of Jewish \nimmigrants to America. Despite this movement, no large educational-cultural institution \nexists to display the experiences of the Jewish people in Canada. This thesis proposes a \nconcept plan for the first major Canadian Jewish heritage institution by applying to it the \ncurrent trends and best practices of the greater museum field. Known as the Canadian \nJewish Museum, this institution will be dedicated to educating a broad audience about the \nheritage of the Jewish people across Canada and the diversity of Canadian society. \n This plan outlines the Canadian Jewish Museum’s core exhibition sections and the \nprinciple artifacts used to display the historical narrative. Each section is devoted to a \ndistinct theme or turning point in the history of Canadian Jews, and is intended to be a \nstory that public audiences may relate to on several intellectual and emotional levels. As \nwell, it highlights several key issues concerning the translation of memory and history into a \nbroadly accessible, meaningful, and educational exhibit. Issues discussed include the \ncomposition of a museum’s mission and vision; how the core exhibit and its artifacts engage \nthe visitor and create an exciting, educational environment for people of all ages and \nbackgrounds; and how additional functions of the Canadian Jewish Museum contribute to a \nmeaningful visitor experience. Ultimately, the concept plan for the Canadian Jewish \nMuseum will discuss and apply the most effective methods of museum planning by focusing \non the social needs and educational desires of its audience.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.008 | 0.011 |
| Science and technology studies | 0.021 | 0.020 |
| Scholarly communication | 0.019 | 0.008 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.016 | 0.003 |
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".