Bibliographic record
Abstract
If You're an Egalitarian, How Come You're So Rich? presents Gerald A. (“Jerry”) Cohen's musings on his ethnic identity. The interplay between the personal reflections, central to which is Cohen's “communist Jewish” upbringing in Montreal, and the philosophical position that Cohen holds, sheds Canadian light on the foundations of Western culture. Although he identified as Jewish throughout his life, Judaism Cohen rejected. Too, as a Marxist early, a luck egalitarian later, he was critical of the liberalism that Jewish people (certainly those of his native Montreal) embrace. Most Jewish Canadians self-classify as secular Jews. Cohen is right to waver, but not because, as he incorrectly avers, being a Jew is in tension with irreligiosity. Cohen does not qualify as a secular Jew because he does not qualify as a Jew at all. His philosophy disqualifies him. What is it to be a Jew? The Hebrew Bible contains the answer. Against the then-regnant, pagan, belief system, the Bible advances a conception of a person as an effective locus of action within the system that is nature. This conception is the essence of humanism. In effect, being a Jew is an ethnically inflected form of being, in the dominant Western sense, a person. As distinct from adhering to Judaism, or being Jewish, being a Jew associates more than just voluntarily with liberalism. The religion-friendly irreligiosity of the secular Jews of Montreal turns out, then, to link with a value embedded deep in Canadian political life. Cohen's philosophical anthropology, enmeshing men and women in a wider whole, socio-economic (Marxism) or natural (luck egalitarianism), marks him as a neo-pagan. As to Cohen's Jewishness, even a pagan can eat bagels and speak Yiddish.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.011 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".