Bibliographic record
Abstract
written a brave and moving account of her time as a young white woman travelling and doing research in Southern and East Africa.Mid-1950s Canada had not yet produced the personal or professional liberties feminist movements of the sixties and seventies would begin securing for women in North America.In a time when very few, if any, white woman scientists had engaged with Africa, Dagg's courage and determination forged the space for her to follow a childhood dream of studying giraffe in their African habitat.In doing so, she helped pave the way for later women to produce other work of enormous importance to science and conservation on that continent.The two decades following Dagg's time in Africa would produce irrevocable changes in North American and African race politics.At the same time as the civil rights movement and demands for the rights of native peoples gained momentum in the Western hemisphere, Africa was rapidly loosening the grip of five hundred years of European invasion and occupation.Only eight years after her visit there, black people in East Africa won their political independence from Britain.In contrast to what was happening in East Africa, the time that Dagg spent in South Africa was the period in which the white government there was entrenching a vast range of racist legislation that would come to be known as apartheid.Dagg's experiences and observations as an outsider in South Africa offer provocative witness to the terrible ease and disturbing normalcy with which brutal political and racial systems are perpetuated by very ordinary people.The young Anne Innis Dagg is a scientist.Academic.Woman.A little in love.Against the odds, she raises the money for her research and the journey.ix
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.794 | 0.756 |
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".