Unveiling the silence: Exploring memories of the 1947 partition through the voices of second generation Punjabi women
Bibliographic record
Abstract
In 1947 India was partitioned into two countries, resulting in devastating violence nationwide. Within a span of months, twelve million people were displaced as they were forced to migrate to India or Pakistan according to religious identity. The trauma and communal violence that followed transpired on the bodies of women, as they became the symbols of family, community and national honour. Feminist scholars have recently explored the memories of this tragic event from the perspective of women; however, research exploring the intergenerational effects of Partition is sparse, particularly in the Diaspora. Similarly, literature that explores second-generation South Asian women's experiences growing up in Canada has yet to connect historical memories of the Partition with this generation. This research explores the experiences of seven, second-generation Punjabi women raised in Canada to families that were impacted by the Partition of India, delving into themes of honour and everyday resistance in their lives.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.035 | 0.025 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.004 | 0.008 |
| 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".