Contextualizing Toni Morrison in Nepalese Classroom of Diversity: A Pedagogic Approach for Students of M.A. in English
Bibliographic record
Abstract
This article is based on my experience of teaching Nepalese students, who are from different socio-cultural backgrounds. The study proposes a pedagogy through participatory and interactive reading strategy (PAIRS) for Tribhuvan University’s 4th Semester Graduate class of English Literature on the course of ‘Single Author’ (ENG 582), by making them engaged in dialogues, both in oral and written form, in which they will share and exchange their ideas on literary texts of Toni Morrison by investigating on some specific implications of the author’s vision on the issues of differences, prevalent in America. The proposed pedagogy is intended for raising students’ critical consciousness of the contemporary world’s most pertinent issues of identity of minorities, which Nepalese students face in their day to day living experiences. Thus, it is hoped that an individual and collective engagement would be developed in students for dealing with what is both historical and immediate, and global and local. By practicing PAIRS, students would develop self reflection on their biases that would make them critical of their culturally imbedded ideas and that would gradually make them empathetic to differences. The proposed pedagogy is not for demonstrating a teacher’s knowledge on the author’s works by critical and theoretical tools, but contextualizing the author in Nepalese socio-cultural conditions through the platform of a classroom of diverse thoughts for the students’ better understanding of the world, enriched with ‘differences’. The study further contributes to new pedagogy of English Studies for Non-western students by widening the field of comparative cultural studies, and thus enhancing the scope of comparative literature.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.013 | 0.008 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".