Surging, Stable, or Subdued: The Jewish Perception of Antisemitism in Canada’s Southernmost Region
Bibliographic record
Abstract
Abstract This article explores the Jewish perception of antisemitism in Windsor-Essex by surveying forty-nine Jews living in the area. Those surveyed were asked about their level of concern with the state of antisemitism, possible causes, and how Windsor-Essex compares to other Canadian regions. The researcher found that respondents are moderately concerned with the state of antisemitism. They also identified several dissimilar causes for antisemitism. A majority believe there are similar levels of antisemitism found across Canada. The researcher hypothesizes that demographic factors will impact the respondents’ perception of antisemitism. After a comparative analysis, the researcher finds that there is no such discernable relationship. The researcher believes that future studies need to incorporate factors that go beyond the basic ones to better understand how antisemitism is perceived by Jewish Canadian communities.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".