Marianne Moore's "The Camperdown Elm" and the Revival of Brooklyn's Prospect Park
Bibliographic record
Abstract
A little-known poem of Marianne Moore's entitled “The Camperdown Elm” has recently been the recipient of more attention among scholars. Published in 1967 when Moore was nearly eighty years old, the poem is credited with bringing financial assistance to an ailing ornamental tree in Brooklyn's Prospect Park. The tree's history, and the story behind Moore's poem, have been sketchy. This article resuscitates the history of the tree, some of the history of the park, and some of the history of the financially troubled era in which Moore's poem was written. The poem provides a strong paradigm for eco-activist poetics, and yet is also so particular to its time and place that it may be unique. Moore herself was asked for several encores to save other trees and parks in the New York City area, but this one poem remains her only eco-activist effort, but one that was successful in bringing together many different agencies, and which continues to inspire Brooklynites to work for the park's survival.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.010 | 0.011 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".