Adverbials of Time, Time Expressions and Tense Shifts in Alice Munro’s “Dance of the Happy Shades”
Bibliographic record
Abstract
Alice Munro, the first female Canadian to have been awarded the Nobel Prize for literature, is a literary challenge and delight for the reader also with regards to the usage of references to time and their linguistic construction. Her literary work comprises short stories and one novel, which can more accurately be described as a short story cycle. She takes interest in everyday, small-town life and the human relationships in it, all described in concise, down-to-earth language. The settings in most of her stories are limited communities in a typically Canadian context. This paper deals with her short story “Dance of the Happy Shades” from the collection of the same name (1968), and focuses on a stylistic analysis of time expressions, tense shifts and adverbials of time. Munro has been praised for constructing moods of familiarity, home and small-town safety. The paper attempts to show that she achieves this not solely through the plot and themes, but also with the meticulous care with which she uses time expressions, time adverbials and tense shifts.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".