Bibliographic record
Abstract
Abstract Building on recent currents in Dickinson scholarship that investigate the relation between poetic and epistolary address in her letters, this essay documents Dickinson’s practice of sending poems to correspondents, exploring what their highly personal orientation can tell us about Dickinson’s understanding of her work and the intimacies it could foster. Using a survey of 679 poems Dickinson addressed to fifty-two recipients, the essay identifies three distinct modes of addressed poems: as letters, set in letters, and enclosed with letters. Examining the first two of these modes in detail, the essay explores how Dickinson used poetry to build and sustain interpersonal connection. From a riddling note she sent with a basket of apples to her sister-in-law, to lines of consolation embedded in a letter to a friend’s friend, Dickinson’s distinctive employment of poems in epistolary contexts reveals her faith in poetry’s ability to mobilize affect between people and bring them closer together. Moreover, it reveals Dickinson’s concern that a specific, personal—not unspecific, public—addressee was crucial for such affect, which may help to explain her larger turn away from conventional publication.
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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 | 0.004 | 0.010 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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".