Analysis and Study of Margaret Atwood’s Influence on the Canadian Society
Bibliographic record
Abstract
Atwood is able to cast an important spotlight on the culturally formed gender roles by challenging the binary oppositions established by a patriarchal culture through these characters, such as by portraying Oryx an experienced businesswoman who utilizes her sexuality to her own advantage. In this case, pornography may be considered as the catalyst for gender oppression since it serves as sex education for guys who have not yet had first-hand sexual encounters and because it has the potential to incite sexual violence against men. Both Jimmy and Crake think of women in terms of their bodies as a result of being influenced by the excessive sexual pictures, sexually oppressed them. While Crake totally removes himself from his sexuality by viewing it as a flaw inherent to everyone, Jimmy is unable to control his. Jimmy is a "product of the affective system," whereas Crake only appears to be one in order to take advantage of the system to further his own interests (Kroon). Crake develops the genetically altered Crakers as a remedy to liberate society from this weakness; he is investigating the sexual boundaries of the human being. This eliminates the conflict between desire and the act of sexual contact.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.038 | 0.010 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".