Mythical Homes and Violent Realities: Reading Gujarat in M. G. Vassanji's<i>A Place Within</i>
Bibliographic record
Abstract
In this essay, I read M. G. Vassanji's travel-memoir A Place Within: Rediscovering India, as a diasporic traveler's personal journey and search for the self, and as a political critique of postcolonial India. I argue that as Vassanji, a diasporic traveler removed from his original homeland by many generations and geographies, searches for his roots seeking affirmation of his mythical memory, and as he tries to come to terms with the differences between the imagined and the real Gujarat, he represents the angst of the diasporic subject. Finally, this paper explores how Vassanji uses the travelogue not only as a way of recording his cultural memory, but as a means of challenging simplified visions of India's past.
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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 | 0.000 |
| 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".