Bibliographic record
Abstract
I was born in South Africa, as were my parents and grandparents. We have descended from people who had been brought to South Africa through indenture, a colonial labour system that introduced alien agricultural methods and an alien workforce from India, to optimise monocultures like sugarcane. My very presence here is, therefore, entangled with colonialism’s domestication and mastery over land, plant, and people (Indigenous and indentured). I have never felt alien here. Why was that? What about the indenture stories of people, land and plant, beyond empire’s mastery and control—my ancestral wild places? And was there room within these wild places to heal colonial wounds across our ethnic and racial barriers? What was lost? Could my PhD2 research transcripts address some of those losses? This paper contains poems that emerged from PhD research interviews, my fieldnotes, my father's memoirs, and letters from my ancestral archives. A poetic lens gave me a decolonial language to inspect the archives and transcripts with some of these questions in mind.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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 teacher head, 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".