Addressed to You: Nonhuman Missives from Elizabeth Bowen's A World of Love
Bibliographic record
Abstract
hat is a "world"?What is "love"?And what happens to you, or in you, when you read?Who are "you," reading?These are some of the questions that present themselves in Elizabeth Bowen's oneiric masterpiece, A World of Love.It is a text about revenance, about Nachträglichkeit, about what begins by coming back.It concerns reading, and the response or responsibility to what is read.The forces that move it are more or other than human and, arriving in our hands today, it takes on a strange new significance, as we find ourselves the readers of another text from the past-a text we are calling the Anthropocene.While other critics have emphasized the nonhuman aspects of Bowen's writing, 1 this essay will look at how A World of Love becomes newly legible today, as if it had always been addressing itself to a future in which the Elizabeth Bowen's 1955 novel A World of Love arrives in our hands today like a letter from the past, insisting that we recognize the nonhuman forces at work in every act of writing and reading-as well as the ethical injunction such an apprehension engenders.The future can only be for ghosts.And the past.-
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.026 | 0.018 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.009 |
| Insufficient payload (model declined to judge) | 0.007 | 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".