Acknowledgements for the Second Edition
Bibliographic record
Abstract
IT IS TIMELY that the publication of the second edition of Dead Woman Pickney coincides with the groundswell of support for the Black Lives Matter Movement for social and economic justice for Black people globally.As importantly, the book is published towards the ending of the United Nations, International Decade for People of African Descent (2015-24).Of note, also, is the mounting evidence to support longstanding charges of genocide against the representatives of the church and state who were committed to and supported actively the Canadian, colonial government's Indian Act, and who furthermore implemented the draconian, assimilationist policies associated with the Indian Residential School System, (from the late 1800s to the 1990s).This very cruel educational system has had such disastrous long term impacts on the First Nations people of Canada.As a first-generation settler from Jamaica (in the West Indies) who was welcomed as a guest on the unceded traditional territory of the Coast Salish, Musqueam, and Squamish nations in what is called British Columbia, I was very much influenced by their anti-colonial struggles.I saw many parallels with the post-emancipation, anticolonial struggles in Jamaica.I became interested in the implementation of the goals of the 1972 policy paper, "Indian Control of Indian Education," put out by the National Indian Brotherhood.As a participant observer and ally in various capacities-as a student, a teacher,
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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 | 0.003 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.663 | 0.539 |
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; the direct Gemma label and the distilled Codex classifier 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".