Mapping Difference: Critical Connections between Crip and Diaspora Communities
Bibliographic record
Abstract
This paper explores connections between crip and diaspora communities. I begin by discussing how the cultural production of racialized and disabled people are not analogous, but, rather, entangled. Following this, I reflect on a monologue by Leah Lakshmi Piepzna-Samarasinha that articulates the knot between the production of land and the production of disability. I then discuss how our understanding of geography is related to our understanding of the people who are placed or place themselves in particular geographic sites. I use Jasbir Puar’s concept of “debility” (2011) to unpack how the material and discursive production of people and land as disposable are also knotted. This paper ends by reflecting on how “unworking” (Walcott, 2003) our understandings of community and disability, the relationship between place and people, is one way of recognizing the “different stories of differences,” stories that challenges the mainstream disability right movement’s understanding of disability. Keywords: community; geography; diaspora; debility; environmental racism; biopolitics; neoliberalism
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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 | 0.009 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.021 | 0.064 |
| Scholarly communication | 0.010 | 0.016 |
| Open science | 0.002 | 0.018 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".