Bibliographic record
Abstract
Alice Munro is primarily known for her short stories and has published many collections over the years.She was born on 10 July 1931 in Wingham, which is in the Canadian province of Ontario.She also won the Nobel Prize in Literature in 2013."TRAIN" is also one of her short stories from Dear Life (2012) collection.In Train, a young Soldier, his name is Jackson, returning to his fiancée from the Second World War, jumps off the train before his stop ignoring the fiancée waiting for him and starts a new life where he lands.He saw a woman out milking a cow, she is Belle.Jackson pities Belle and thinks that he can work for her for a few months and then continue on his way.After numerous years Jackson and Belle have settled down in Mennonites.I consider the association between them is purely platonic.Munro's stories are often set in small town environment where there is a struggle for socially adequate affairs and ethical conflicts.This paper is an attempt to explore the theme of relations and moral conflicts in her Short story Train.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.033 | 0.025 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.009 | 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".