The Conflict between Imagination and Social Expectations in Anne of Green Gables
Bibliographic record
Abstract
The early twentieth century witnessed one of the most potent works produced by a woman who suffered from a miserable life as an orphan child. Yet; these hardships were a big inspiration for her to write. Lucy Maud Montgomery through her novel Anne of Green Gables reflected her struggles in thirty eight chapters and offered readers a trip into a child’s mind. Just like women, children in Canada before the 20th Century were expected to adhere to the social codes as they are. As time passed by, the position of both women and children began to move forwards thanks to the political, social, and especially economic advancements that provided education for children. If a child, and specifically a female child chooses to deviate from the guidance of society and to let her imagination control her life, it would definitely lead to a conflict and this was the case in the novel. The aim of this research paper is to analyze the conflict between imagination and social expectations in the novel Anne of Green Gables starting by an overview about the Canadian society and literature status during the period 1900’s in order to pave the way for the second chapter that comes to a conclusion that the result of the conflict is favorable for the imaginative protagonist.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.020 | 0.035 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| 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".