Bibliographic record
Abstract
This chapter explores the logic of separation practices at a mother goddess temple ( mandir ) in the industrial outskirts of Toronto, Canada. Such logic, importantly, has material-real implications for the gendering of landscapes, bodies, and subjectivities. Over the past four decades a growing community of Indo-Guyanese Hindus have settled in this area, some bringing with them a healing cult centered on a female deity, Mariamma . Carried to the Caribbean in the nineteenth century by indentured laborers from India, these practices have traversed diverse colonial and postcolonial landscapes. Relevant are concerns with re production as opposed to mere production under extractive, capitalist regimes. Such “work” requires assembling with abundance, resulting in copious byproducts and waste; these materials, however, are not all treated the same. Whether shared, recycled, or cast “away,” these acts have consequences for devotees who characterize themselves as “unclean.” Implicated is menstrual blood, some “thing” used to differentially separate some people and prohibit where they can be. Drawing on insights from waste and discard studies, and ecofeminist concepts of “reworlding,” I explore the power of such matters to denaturalize binary and hierarchal categories of difference manipulated under colonial regimes. At the mandir in Brampton, women are disrupting perfectionist ontologies, even while adopting the language of recycling campaigns. Still others are pushing boundaries, taking advantage of spaces that open up, and empowering (un)becoming associations iwith waste.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.042 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".