Aging and Family Caregiving in “The Bear Came over the Mountain” by Alice Munro: A Narrative Gerontology Study
Bibliographic record
Abstract
This study explores the importance of Narrative Gerontology theory and focuses on Alzheimer's and Dementia narratives which reflect the struggles of patients in the short story, "The Bear Came Over the Mountain" (2014), Canadian author, Alice Munro, the Nobel laureate of literature, audaciously touches upon themes that are generally repressed and are intolerable as they refer to aging, family, caregiving and Alzheimer's disease.Monro adopts a lucid approach to the precarious condition of the human being who can only maintain a sense of existing with the aid of the memory of lived experience.However, Munro manages to surprise us further by casting a look, with great finesse and humor, at the tragic and omnipotent dimension of jouissance connected with the desire for love and survival lurking in the depths of the unconscious of each of us.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.022 | 0.010 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.006 |
| 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 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".