Cultural Anti-Modernism and “The Modern Memorial-Park”: Hubert Eaton and the Creation of Forest Lawn
Bibliographic record
Abstract
The Business of DeathBorn into a line of Baptist clergymen who pursued academic careers, Hubert Eaton (1881–1966) was raised in Liberty, Missouri, where his father was Chair of Natural Sciences at William Jewell College; his paternal grandfather, Rev. George Washington Eaton, had been president of Madison (now Colgate) University in Hamilton, New York, and his great uncle, Rev. Joseph Eaton, presided at Tennessee’s Union University. Hubert forsook the family calling, however, and chose mining over the ministry. It was in the wake of a failed Nevada venture that he found himself in a cemetery just north of downtown Los Angeles in present-day Glendale. According to Forest Lawn legend, the rapprochement of Hubert’s dream of success with his inherited sense of vocation commenced on New Year’s Day, 1917, when he surveyed the graveyard’s growth of chaparral and devil grass, yet saw instead “a great park, devoid of misshapen monuments and other customary signs of earthly death, but filled with towering trees, sweeping lawns, splashing fountains, singing birds, beautiful statuary, cheerful flowers, noble memorial architecture with interiors full of light and color.” Eaton vowed then to remake the cemetery as a memorial park “where artists study and sketch; where teachers bring happy children to see the things they read of in books,” objects like great art (in reproductions) and famous churches (in reconstructions). Only such a displacement of death within the continuity of culture and the eternity of art, an undertaking to be secured by “an immense Endowment Care Fund, the principal of which can never be expended—only the income therefrom,” would adequately represent Eaton’s fundamental belief “in a happy Eternal Life” and, “most of all, in a Christ that smiles and loves you and me” (St. Johns 118–19).1
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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 | 0.014 | 0.024 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".