Louis Leakey, self-styled White African: Appreciation and some personal recollections
Bibliographic record
Abstract
One hundred years after the birth of L.S.B. Leakey, it is fitting to pay tribute to one who did more than anyone else to unravel the story of humanity's past in Africa. This brief biographical sketch and personal appreciation shows how the pattern of his life was established even while he was an undergraduate at Cambridge, through his leadership of a series of expeditions to East Africa (his birthplace). His role in laying bare the prehistory of East Africa and in setting up the first outline of the archaeological sequence is briefly recounted, as are some of the genera and species of hominids which he and his wife Mary discovered. Leakey's recognition of earlier climatic changes in Africa is described including his—later discredited—delineation of four so-called pluvials, separated by interpluvials, which he considered to parallel the glacial and interglacial periods of Europe. Louis Leakey's deep involvement with the living peoples of East Africa is illustrated by his studies on the Kikuyu people. Some of the many difficulties with which he had to contend throughout his life are shown to provide the background to his career of struggle and of accomplishments wrested from a life of poverty and pain. Reference is made to the powerful impact which Dr Leakey had upon the life and career of the writer.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".