Bibliographic record
Abstract
Walt Whitman defies ontology: he strives to be eternal, to journey ever in the now, and thus to forswear beginnings. And there is a great deal of “place” in Whitman, space both concrete and metaphorical, Alabama and Maine, body and “kosmos.” But Whitman the man was born in Huntington, Long Island, which is a good a place to start exploring how place and space shaped the poet. If we agree that Whitman is, among many other possibilities, a namer of things, it seems logical that the objects he names may give us keys to “place” and that their usefulness as objects within the poem not only anchors his imagery in the specifics of place, but can mediate a kind of trust between reader and poem. This trust (faithfulness) is essential to establish, especially poet’s larger purpose is one of transcendence. With this in mind, the poems that featurePaumanok provide both a concrete borough or geography—an indication as to how Whitman “studied out the land” in his work—and a starting point from which contemporary readers can believe in a physical place well enough to trust Whitman when he journeys into larger, more encompassing, and often more abstract notions of place.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.025 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".