(Un)Veiling “Tradition”: Fashioning Multifaceted Orhni and Hijab Assemblages in Trinidad
Bibliographic record
Abstract
Examining sartorial life histories—interviews detailing the entangled biographies of women and their garments—this article attends to the material microscopics of Indo-Trinidadian women’s orhni and hijab veiling practices, dress conventions that circulate as visual markers of idealized femininities vested in mobilizations of Indian, Hindu, and/or Islamic tradition. Complicating facile projections of bounded and timeless essences, women’s narratives highlight the dynamic, hybrid ways in which they have historically “assembled” their outfits, weaving together the diverse material, aesthetic, and ideological threads available to them in a multi-ethnic, multi-faith, and globalized Trinidad. While representations of veiling have facilitated the cordoning-off of ethnic and religious divides, attending to the multifaceted materialities and aesthetics of orhni and hijab assemblages can rip away at the seams that reinforce fictive notions of bounded “culture” and static “tradition” in the Caribbean.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.010 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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".