Bibliographic record
Abstract
This article asks us to rethink the models that have conventionally represented the coming of Islam to Africa: that of a pre-established entity, given from the outside, coherent, monadic, unity, like an already formed identity. Using Lacanian challenges to conventional notions of identity, this article contests the above version of Islam, viewing it as an incarnation of the imago: always there, always obeying the logic of a model of transmission into Africa as a reception from abroad. The conventional representation of its irruption into Africa has always involved the misrecognition of an identity as a pre-existent, already-whole form, wait ing to be born, presumably in complete unity. What this model ignores is that the language and form of what it came to recognize and name as Islam were already there, and that the Islam that formed its newlyconscious sense of self was grounded in the same act of misrecognition as characterizes the mirror stage, that is, the stage at which the subject comes to state: “This is who I am.” In order to rethink the identitarian model, this article evokes the figure of the dead father, the “McGuffin” on which turns the drama of Hampaté Ba’s Wangrin and Sembène Ousmane’s Faat Kine. In both works, the act of exhuming the father’s body takes on a degree of fantastical importance because it situates the struggle between two competing mirror stage tendencies: narcissism and aggression, tendencies around which all forms of subject-identity formation take place.
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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.040 |
| Scholarly communication | 0.014 | 0.024 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.005 | 0.010 |
| Insufficient payload (model declined to judge) | 0.033 | 0.010 |
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".