A Study on Gendering as an Unconscious Process in Alice Munro’s Boys and Girls
Bibliographic record
Abstract
Gender is the psychological identification of every individual, but it is influenced purely by socially constructed ideologies.Boys and Girls is a short story about a girl who is about to turn eleven and her brother.Their father is a fox farmer living in Canada.This story has episodes that intellectually bring forth the gendering of tender minds, so that they will grow up to be fit and function efficiently as per their assigned gender roles.The story follows first person narrative.The long living stereotypes are instilled in the children of the family through various incidents that are subtle to be noted as problems related to gender.This study delves into the process of shaping the young minds unconsciously by the elders who fail to deconstruct the ideologies that dwell in them and get flowed out unconsciously.The biased gender discriminating ideologies are transmitted from one generation to another both consciously and unconsciously, because of the lack of enlightenment on this unspoken subject of arguments.The little girl has a wild spirit of adventure, which is gradually lulled to sleep by the gender stereotypes and the story is a representation of the deliberately left, unseen and unspoken gender issues.This study is to examine how the characteristic attributed to the particular genders are made to be imprinted in the blank young minds as an unconscious process during the childhood through this short story.This study also aims at bringing into light the happening reality of gendering with this literary text as a channel of exploration.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.012 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".