Identity Formation and Discourse of Power: A Study of Us, Them and Othering in Nervous Conditions
Bibliographic record
Abstract
This study was designed to trace the deconstruction of authoritative officialized history in fiction through Postmodern Historigraphic Metafiction. Historiographic Metafiction dismantles the metanarrative of official history and raises the voice of silenced subaltern thus generates mininarratives. The study is thus grounded in Postmodern Historiographic Metafictional theory of Linda Hutcheon for investigation of the “subversive strategies” of officialized history and deconstruction of positively accentuated binary of “us” and negatively accentuated binary of “them” in the backdrop of postcolonial literary text Nervous Conditions. Norman Fairclough’s model of Critical Discourse Analysis is taken up as a research method for the analysis of fictionalized historical work under study. Finally, text is analyzed leading to the conclusion of the study. The study shows that fiction unveils the official overriding history and provides new perspectives of untold historical events.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.015 | 0.026 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.001 | 0.007 |
| 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".