Death and Immortality—An Everlasting Puzzle: A Comparative Analysis of Emily Dickinson’s Two Poems
Bibliographic record
Abstract
Emily Dickinson as a religious poet was obsessed with the subject of death and immortality; about third of her poems feature this enigma which baffles not only the ordinary multitudes but also those great thinking minds throughout the human history. But up to now, it remains by and large a matter of belief, and people’s belief is subject to vacillation, especially so when this elusive subject is concerned. Emily Dickinson is no exception. This article makes use of close reading as its analyzing method. By way of detailed examinations on the semantic ambiguity and uncertainty of particular words, the narrative incoherence revealed in the unusual change of tenses as well as the inconsistency in the image of Death, it reveals that Dickinson, like many other great thinking minds, held an ambivalent attitude towards death and immortality. As a matter of fact, what can be deduced from all her poems on this enigma is an obsessed spirit which was questioning, doubting while at the same time believing.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.011 | 0.020 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| 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".