On Not Escaping Yourself: Jewish Conceptions of Memory, Time, and Redemption in <i>Mad Men</i>
Bibliographic record
Abstract
In this article, I explore the seven seasons of Mad Men for its religious content with special attention given to how Judaism is a constant undercurrent throughout the show. In particular, Matthew Weiner's exploration of memory and time draws on several Jewish theological themes that challenge linear and progressive notions of time's passing. The constellation of past, present, and future is most fully displayed in the hero of Mad Men, Don Draper's (John Hamm) narrative journey. Draper, in spite of his efforts to escape the past, is, in fact, shaped by complex and powerful memories that are always operative just beneath the surface of his struggles. His memories not only offer insight into his character, but they are fundamentally constitutive of his present identity, as past and present blend together. His present story likewise points to a future that is only partially revealed in Mad Men's finale. In this article, I hope to show how understanding Jewish conceptions of time and memory is also helpful in unpacking the show's enigmatic ending where, as I shall argue, Draper finds redemption through the ordering of time and memory.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".