Bibliographic record
Abstract
In Chinua Achebe's novel No Longer at Ease , set in the late 1950s, Isaac Okonkwo, the aged father of the protagonist, has a room ‘full of old books and papers – from Blackie's Arithmetic which he used in 1908 to (his son) Obi's Durrell, from obsolete cockroach-eaten translations of the Bible into the Onitsha dialect to yellowed Scripture Union Cards of 1920 and earlier’. In the first half of the twentieth century, newly literate Africans often collected and saved all kinds of written material, including printed paper and their own notes and letters, investing these samples of writing with all their hopes for participation in the new field of the modern. Karin Barber has labelled this phenomenon ‘tin-trunk literacy’. Oduche's wooden box imprisons the natural, the sacred, and the indigenous, but a tin trunk filled with papers could be a ‘repository of values, the crystallized tokens and products of “civilization”, “progress”, “enlightenment”, and “modernity”’. Isaac's adult son, Obi, looks with bemusement amounting to disdain on his father's collection, which time and insects have damaged and whose contents time has rendered ‘obsolete’. He sees in the yellowed pages an image of the older generation's outmoded, almost superstitious respect for the missionaries and the products of the colonizer. The title ‘Blackie's Arithmetic ’ refers to the British publisher, but probably strikes the son as colonial condescension that his father had shamefully tolerated.
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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 | 0.000 | 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 | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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".