Bibliographic record
Abstract
Over the course of her writing career, Bishop was even more preoccupied with the image of the rural house than Frost. Some of the same historical episodes—the Great Depression and the New Deal, whose effects she also observed in Key West, and WWII—influence her depiction of the image of the fragile or neglected house. And, as with Frost, Bishop's personally unsettled circumstances led her to find the scene compelling. In considering why rural houses, from Nova Scotia to Brazil, appealed so much to Bishop, and in exploring their consoling and disturbing qualities in her poetry and prose, it is impossible to follow the chronology of her life and the sequence of her published work at once. An important aspect of her creative process is the way that times and places—as inspiration for her writing about dwelling—overlap in a Bachelardian manner, without regard to chronological sequence. As Bishop wrote in an undergraduate essay, with remarkable prescience about the development of her writing, the meaning of experience shifts and changes according to psychological, not chronological, schedules ("Dimensions for a Novel," Bishop 70.9). She may have written this essay as she attempted to write a novel about her childhood in Great Village, Nova Scotia, "Reminiscences of Great Village." In Bishop's work, personal anxieties about dwelling blend with cultural ones, in North and South America and in Europe.KeywordsNova ScotiaRural HouseIntimate FriendPersonal AnxietyMaternal GrandparentThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".