Bibliographic record
Abstract
Abstract Vera Frenkel’s video and installation work focuses on the complexities of intercultural relations and identities, always raising issues of uncertainty, fantasy, and cultural expectations. Born in Bratislava in 1938, carried by her mother out of Europe on the eve of war, Frenkel came to Canada as a teenager, studied sociology at McGill University, and turned to art to explore the passages and perplexities of Canadian diasporic life. While there is little that is insistently Jewish in her art, the work draws unmistakeably on modern Jewish experience, and extends its impact to a wider, multi-cultural world. My paper focuses on four works. With a ground-breaking use of internet technology, String Games (1974) plays on the game of Cat’s Cradle to link disparate and distant communities. …from the Transit Bar (1992–) constructs a train station bar as a site of social and political flight, with Yiddish prominent among a babble of languages. Body Missing (1993), an interactive internet site, continues the journey—as viewers follow clues in pursuit of the Shoah’s ‘missing bodies.’ The recent video installation Blue Train (2014) again invokes flight and promise, melding danger and opportunity. With Jewish history and experience a recurrent theme, Frenkel’s art explores the pressures of and pleasures in Canada’s cultural mosaic.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.032 | 0.019 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 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".