Anne of Green Gables by Lucy Maud Montgomery as a Coming-of-age Novel
Bibliographic record
Abstract
Anne of Green Gables by Lucy Maud Montgomery is a Canadian Classic children’s fiction published in 1908. It revolves around an eleven-year-old orphan girl named Anne Shirley who is vibrant, witty, has a vivid imagination and a positive outlook on life. This coming-of-age story begins as Anne Shirley arrives at the Green Gables house on Prince Edward Island, Canada, to assist the upper-middle-aged siblings Marilla and Gilbert Cuthbert on their farm. The Cuthbert siblings were disappointed to see a girl as they were expecting to foster a boy to assist with the field labor. Anne Shirley landed in Green Gables as a mishap but won everyone over time with her spirited personality and charming nature. In the predominant literary narrative, children’s literature is under-represented and forgotten as childhood, after all is seen as a state from which we grow away. But children’s literature provokes an intense response and engagement amongst its readers through its congruence. A coming-of-age story in children’s literature focuses on the psychological and moral growth of a protagonist from youth to adulthood and confounds the audience to experience the surrounding of the protagonist to impact the readers’ thoughts and attain self-growth. In light of the above information, this paper aims to substantiate Anne of Green Gables by Lucy Maud Montgomery as a coming-of-age novel to understand the impact that children’s literature has on its audience through various elements such as culture, identity, positivity, friendship, love, growth, and imagination.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.007 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".