What is armchair anthropology? Observational practices in 19 <sup>th</sup> -century British human sciences
Bibliographic record
Abstract
The study of human diversity in the first half of the 19 th century has traditionally been categorized as a type of armchair-based natural history. If we are to take seriously this characterization of the discipline it requires further unpacking. Armchair anthropology was not a passive pursuit, with minimal analytical reflection that simply synthesized the materials of other writers. Nor was it detached from the activities of informants who were collecting and recording data in the field. Practitioners in the 19 th century were highly attuned to the problems associated with their research techniques and continually sought to transform their methodologies. The history of British anthropological research is one of gradual change and the adoption of new observational techniques into its methodologies. This article looks at the history of 19 th -century British anthropology and examines in detail the observational practices of its researchers. In doing so it aims to answer the question: What is armchair anthropology?
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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 | 0.021 | 0.043 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.009 | 0.038 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".