<i>Wild seed</i>: Africa and its many diasporas
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper engages with the epistemological assumptions of diaspora as it has been narrativised within North American discourses of Black identity formation. It will be argued that in light of the rapid growth of Black African migrant women populations in both the United States and Canada, and their second generation descendants over the past four decades, new frameworks for understanding Blackness are needed. The experiences of Black identity formation among these women in North America are particularly susceptible to exclusion within older and more dominant frameworks for narrativising histories of slavery, migration and Blackness. I will argue that Black feminist speculative fiction, with its history of subversion and reputation for unbound imagination, can be useful in addressing this exclusion. Thus, using Octavia Butler’s 1980 novel Wild seed as a case study, I will argue throughout this paper that Black feminist speculative fiction presents epistemological tools useful in exploring the limits of these older frameworks, while still drawing from them in order to create newer and/or more flexible epistemologies better suited to the gendered, ethnic and sexual differences within Black diasporic communities, especially those that have come about as a result of these newer migrations from Africa.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 it