The Intersection of Ableism, Domestic Colonialism and Statistics in Britain from Bentham to Galton
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Statistics, ableism and domestic colonialism were inextricably intertwined in Britain over the long nineteenth century, based on both engineering people deemed to be “backward” and improving “waste” land, which together were used to justify farm colonies for the disabled, bookended by two key moments. The first is Sir John Sinclair's introduction of descriptive statistics into the English language in order to provide a foundation for domestic colonization which, as the founding president of the British Board of Agriculture and Internal Improvement, he promoted. He also enlisted Jeremy Bentham, who published his own domestic colonization plan (massive pauper panopticons on waste land) rooted in the statistics of his pauper population table. The second key moment occurs at the beginning of the twentieth century, when Sir Francis Galton develops key statistical arithmetic methods as the foundation for eugenics and his defense of compulsory segregation of the mentally disabled into domestic farm colonies.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it