{Beyond Individual Space: The Symbolic Place of Indian Women in the Land of Diaspora in Anita Rau Badami{\textquoteright}s Tell It to the Trees}
Bibliographic record
Abstract
Recent writings by Indian women authors suggest that Indian women who emigrated to the West (mainly the U.S. and Canada) have been claiming their space in the diasporic place, believing that a change of location is a significant opportunity for them to challenge and revise culturally-inscribed roles. In my article, I argue that the dynamics of Indian postcolonialism have crossed national borders, thus forcing women to the margins in the foreign land, too. Since they stand for the national territory, their relationship with space is deeply symbolic, as I will show in my analysis of the novel Tell It to the Trees (2011) by the Indo-Canadian writer Anita Rau Badami. Besides studying the women characters’ positions in both real and symbolic space, my article focuses on how women accept, resist, or modify men’s expectations in terms of identity preservation in a Western environment.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.004 | 0.001 |
| 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".