A kosher Christmas: 'tis the season to be Jewish
Bibliographic record
Abstract
Christmas is not everybody's favorite holiday. Historically, Jews in America, whether participating in or refraining from recognizing Christmas, have devised a multitude of unique strategies to respond to the holiday season. Their response is a mixed one: do we participate, try to ignore the holiday entirely, or create our own traditions and make the season an enjoyable time? This book, the first on the subject of Jews and Christmas in the United States, portrays how Jews are shaping the public and private character of Christmas by transforming December into a joyous holiday season belonging to all Americans.Creative and innovative in approaching the holiday season, these responses range from composing America's most beloved Christmas songs, transforming Hanukkah into the Jewish Christmas, creating a national Jewish tradition of patronizing Chinese restaurants and comedy shows on Christmas Eve, volunteering at shelters and soup kitchens on Christmas Day, dressing up as Santa Claus to spread good cheer, campaigning to institute Hanukkah postal stamps, and blending holiday traditions into an interfaith hybrid celebration called Chrismukkah or creating a secularized holiday such as Festivus.Through these venerated traditions and alternative Christmastime rituals, Jews publicly assert and proudly proclaim their Jewish and American identities to fashion a universally shared message of joy and hope for the holiday season. See also: http: //www.akosherchristmas.org
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.004 |
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".