The Making of 'Great Benin': Felix Norman Roth and Henry Ling Roth
Bibliographic record
Abstract
The 1897 punitive expedition against Benin City was arguably one of the key events in the history of the British Empire and certainly pivotal in West African history. Ola Rotimi's tragic drama depicting the episode, 'Ovonramwen Nogbaisi (1974), is one of the best-known plays within Nigeria; there is also the pageant, 'Oba Ovonramwen' (1996), Emwinma Ogieriakhi's dramatisation of the fall of Benin. The story has been told variously by European as well as Nigerian historians (Egharevba 1960; Ryder 1969; Home 1982). This chapter, however, is concerned with the contribution to the historical and ethnographic record by Henry Ling Roth (1855-1925) and his brother Felix Norman Roth (1857-1921). They had a major influence upon late Victorian and early Edwardian British and European understandings of the history and culture of the Niger River peoples, the effect of which is subtly continuing. Felix worked with the Medical Service of the Niger Coast Protectorate, and took part in the sacking of Benin, while Henry was what we would now consider a 'salvage anthropologist', curator of the Bankfield Museum in Halifax (Yorkshire), and author (six years after the sacking) of an apparently exhaustive study of the traditional culture of Benin, which he wrongly believed to have been totally extinguished by the British invasion (HL Roth 1903[1968]).
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.009 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| 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".