Bibliographic record
Abstract
Because song is one of the most pervasive oral forms in Africa, it is possible that postcolonial writers' frequent recourse to this genre constitutes a mode of re-placement, as referred in the opening quotation. Re-placement is deemed to mean idiomatic relocation signifying (re)placement. This article explores the interface between song and Anglophone postcolonial written texts. My exploration is prompted by the prevalence of song in all genres of African postcolonial texts. Even a casual glance at titles across regions and across generations of African writers will note the pervasiveness of the concept of song in the African writer's agenda. Poets, fiction writers, and playwrights have woven a web of song-conscious texts across the continent. Nigeria's literary tradition offers John Pepper Clark's Song of a Goat (1961), Ojaide Tanure's The 'Endless Song (1989), and Niyi Osundare's song-texts, including Moonsongs (1988), Songs of the Marketplace (1983), and Songs of the Season (1990). Zimbabwe's Sekai Nzenza-Shand offers Songs to an African Sunset (1997) while Ghana's Kofi Anyidoho textualizes song inPraise Song for The Land (200O). The famous songs of Okot p'Bitek (1966-73), Byron Kawadwa's Oluyimba Liva Wankoko [Song of the Cock] (1972), and Okello Oculi's Song for the Sun in Us (2001) are testimony to the enchanted landscape of the song tradition in Uganda. Finally, Kenya's Ngugi wa Thion'go's Mother Sing for Me (1982),
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.019 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".