Counting the dead and regulating the living: early modern statistics and the formation of the sociological imagination (1662–1897)
Bibliographic record
Abstract
This paper examines the contributions made by early modern statistical literature to the formation of the sociological imagination. Starting in the mid-seventeenth century, the fields of 'political arithmetic' and vital and moral statistics provided a discursive framework within which it became possible to identify and study aggregate dynamics and structures underlying seemingly random and episodic aspects of life (birth, death, divorce, health). Focusing primarily on developments in England, the paper identifies three significant watershed moments in the emergence of the sociological imagination: the discovery of the political and economic dimensions of life; the articulation of socio-statistical patterns underlying various life events and episodes; and the establishment of causal connections between social variables and individual choices. These developments did not amount to or directly result in the creation of the discipline of sociology, yet, they made it possible to make conceptual connections between the personal and the social.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".