Bibliographic record
Abstract
“The earth's plain speech is all I've found,” writes Henry Taylor in “Creek Walk,” the last poem in Crooked Run, an excellent collection of twisting, sparkling poems that spring from the creek in Virginia for which the book is named (62). The speaker in “Creek Walk” discovers a foxhound's skeleton in an “oxbow pool” but refuses to see in the animal's remains anything but the way of the world: “no agony in the mouth stretched wide,/just water rinsing flesh away/and bones on their final seaward ride” (62). The book is concerned with cycles—of lives, families, stories, waterways, and ecosystems, all of which, Taylor suggests, are thoroughly entangled. His poems, chatty but complex, depict the landscape's shaping of the lives of the men and women who inhabit his memory. “Stones and Staves,” for example, recounts an anecdote about one John Hummer, who built a silo single-handedly and “who liked to push rare skills toward various brinks,/courting disaster with a kind of stolid gusto” (11). Taylor links this tall tale to a remembrance of his father's work as a dairy farmer. Both men, the poem intimates, were defined by their labor, which, in turn, was defined by its intimacy with the land. The book's ecological awareness, humor, and intelligence stem from a conviction that human history and the history of the land are inextricable. As the central, unifying device, the creek carries all of the metaphysical significance that is conventionally attached to literary rivers. Taylor's Crooked Run thus flows from the same headwaters as Thoreau's Concord and Merrimack, Twain's Mississippi, and Hemingway's Big Two-Hearted River. But the creek also provides Taylor a way of linking the various stories that compose Crooked Run: it runs through his elegies, histories, and local legends, connecting them geographically and genealogically.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.030 | 0.006 |
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".