Exploring the Sense of Belonging and the Notion of Home in Margaret Atwood’s<i> Cat’s Eye</i>
Bibliographic record
Abstract
Human beings need to associate and mingle with their surroundings, be they the family, neighbours, colleagues, nature or a place, in order to feel attached and belonging to a particular society and its environment. This article explores the concept of a sense of belonging in Margaret Atwood‟s novel Cat’s Eye (1988). The story is about the protagonist, Elaine, revisiting her childhood memories, where she learned about friendship, longing and betrayal. Although she was being bullied by her own best friends, Elaine remained with them as she feared being alienated. Despite the many years spent outside Toronto and away from her sad childhood memories, Elaine still felt that her hometown was her real home. The notions of belongingness used in this analysis are aided by Abraham Maslow‟s Hierarchy of Needs and William Glasser‟s Choice Theory. Elaine‟s strong attachment to her hometown and her childhood memories is due to the human needs for love and belonging and in an attempt to evade alienation and loneliness. Parallel to what Maslow defines as a sense of belonging, humans on a very basic level long for belonging, respect and love, and Elaine‟s actions are seen as a desperate attempt to get through her days in the way that Glasser outlines in Choice Theory – the need for love and belonging is closely linked to the need for survival.
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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 | 0.001 | 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 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".