(II)legitimacy of Knowledge and Exclusion: A Study of Margaret Atwood's Select Novels
Bibliographic record
Abstract
This paper is a study of Canadian author Margaret Atwood's select fictional narratives reflecting how the ‘scientific’ knowledge tradition, in its practice, results in social exclusion of the individual subjects who do not conform to it. In order to explore the state of exclusion, it looks into how ‘the postmodern condition’ inherently brings with itself the idea of its own (il)legitimacy. This notion is explored on the basis of four considerations-Consensus, Speculativity, Doability and Narrativity-inherent in the discourses/disciplines. The postmodernist thinker Jean-Francois Lyotard's The Postmodern Condition: A Report on Knowledge (1979) has been extensively referred to in understanding the (il)legitimacy of not only the scientific but also the non-scientific, but socially accepted forms of knowledge vis-à-vis Atwood's Alias Grace (1996) and The Blind Assassin (2000).
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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 | 0.005 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.049 | 0.056 |
| Scholarly communication | 0.013 | 0.005 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 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".