Bibliographic record
Abstract
Nothing reveals the state of mind of a class and a society quite so much as what it chooses to hang on the wall.The Hebert Museum is interesting not so much for a way of art but for a way of looking at life. 1 Mavis Gallant reveals her fascination with the visual arts throughout her fictional and non-fictional writings.Gallant's observation concerning the Hebert Museum could be revised and refocused: nothing reveals the state of Gallant's mind quite so much as the visual art to which she alludes.These allusions are interesting not so much for a way of art, not so much as ends in themselves, but for revealing Gallant's way of looking at life.As revealing as the allusions are the techniques through which Gallant engages the reader in her way of looking at life.To read her fiction responsively -that is, affectively and effectively, achieving the aesthetic response that Wolfgang Iser defines as "the fulfillment of that which has been prestructured by the language of the text" 2 -we must be alert to visual cues."All representation," E.H. Gombrich says of pictorial art, "relies to some extent on what we have called 'guided projection.'" 3 As many of the characters in Gallant's stories are given opportunities for learning to look, 4 so too readers of Gallant may respond to signals in her texts that guide us to develop a visualizing process as we read her fiction.In an interview with Gallant, Geoff Hancock, remarking on the visual quality of her stories, conjectured that she "might [have] liked to have been a painter at one time."Gallant replied that she often imagines how she would respond to a scene were she re-creating it on canvas. 5Her fiction usually springs from the "envisioned," from a glimpse that she catches, recalls, or imagines of a person or a small group of people."It consists of a fixed image, like a slide or (closer
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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".