We Do Not Let History Shroud Us: The Body as Curriculum and Its Refractive Possibilities
Bibliographic record
Abstract
As two South Asians in the diaspora, we situate the significance of the body as a curriculum, where our lived experiences and stories supported us in navigating the COVID-19 pandemic. We engage in the method of life writing to attend to specific narratives that have framed our diasporic identities. Through that engagement, we seek to demonstrate how we struggle with questions about belonging and dislocation, while also finding ways to overcome those challenges and realities in our everyday lives. Gripped by memories formed through phone calls and visits, with miles between us and the place we know as South Asia, we posit that the diasporic body forms a curriculum by way of a Brown(ing) body. We make the case that such a body has always had to refract in all its complexities and nuances—pandemic or not. Accordingly, we then consider how our lived experiences and subjective bodies informed the pedagogical possibilities of navigating the morbid pandemic as it touched the lives of the students we worked with. Our collaborative writing is therefore an offering of hope and sustenance that emerged during a pandemical time of grave uncertainty and profound loss.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.045 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".