Magnifying perspectives (Volume 26.0)
Bibliographic record
Abstract
Magnifying Perspectives is a festschrift for Robert Ross, Emeritus Professor of African History at Leiden University. The contributions have been written by the students and colleagues of Robert Ross, reflecting his broad-ranging thematic and geographical research interests. Individual chapters cover topics such as slavery, gender and gossip, but also reflect an eye for detail in narrating about mosquitoes, semaphores and pineapples. Big themes such as race and imperialism are tackled by paying attention to language, material objects and the powerful role of individuals in shaping history. Contributions on all parts of the African continent, from Nigeria and Mali to Angola and South Africa, as well as Britain and Australia are included. This book attempts to do justice to the unique approach to African history which Robert Ross advocated, an approach which emphasises the complexity and dignity of human nature by placing it at the centre of historical writing.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.009 | 0.007 |
| Scholarly communication | 0.009 | 0.024 |
| Open science | 0.012 | 0.008 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.020 | 0.006 |
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; both teacher heads agree on what is shown here.
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".