Africa <i>si(gh)ted</i> in Spanish: an introduction
Bibliographic record
Abstract
The introduction to this special issue, “Africa-Si(gh)ted in Spanish,” presents readers with essays that illustrate the creative energy emerging in various countries in Africa and the diaspora. The works analyzed may be viewed as exophonic literature, demonstrating how contemporary African writers are shaping African Hispanic identities that defy colonial nation-state notions of belonging and assert the centrality of Africans in interpreting the world. The “Africa-si(gh)ted” approach’ as we term it, involves simultaneously prioritizing perspectives drawn from African lived experience and reclaiming the place of Africa as an ever-evolving site of knowledge generation and negotiation about Africans and African-descendant people. We propose Spanish as a language of affiliation and relation amongst creators from different cultural traditions—drawing on Edward Said and Édouard Glissant respectively—to offer a deeper understanding of the novel communities of belonging that are being forged in African Hispanism.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.018 | 0.005 |
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".