Bibliographic record
Abstract
Indentureship had profound and lasting effects on the bodies of those involved. Recruitment processes, along with the harrowing conditions of transport and labour, radically reshaped the material and physical realities of indentured labourers, influencing not only their immediate bodily experiences but also the socio-cultural practices and embodied memories they would pass down to future generations. As such, indentured corporeality dwells in but also extends beyond the tangible realm of labour, touching on deeper questions of how bodies can be understood, experienced and mediated under colonial exploitation and beyond. To trace the intricate interplay between the concrete and sensory actualities of indentured bodies and the cultural processes inherent to embodiments of indenture , this special issue brings together interdisciplinary perspectives that examine how bodies became both sites of colonial inscription and sites of resilience and resistance. Through historical analysis, literary exploration, artistic representation and anthropological insight, contributors attend to how the afterlives of indenture continue to shape our understanding of indentured identity, memory and belonging, revealing the body as both a marker of oppression and a medium for enduring cultural expression.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.007 | 0.014 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.016 | 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".