The Franz Boas enigma: Inuit, Arctic, and sciences
Bibliographic record
Abstract
Addressing, for the first time, the enigma of how Franz Boas came to be the central founder of anthropology and a driving force in the acceptance of science as part of societal life in North America, this exploration breaks through the linguistic and cultural barriers that have prevented scholars from grasping the importance of Boas's personal background and academic activities as a German Jew. Muller-Wille argues that to fully appreciate Boas's complete scientific and literary opus and deep emotional and intellectual attachment to the upbringing that shaped his life, it is crucial to become familiar with his publications in German on Inuit and the Arctic as related to environmental, geographical, and ethnological questions, which have remained largely unknown and neglected in North America. These writings represent his emerging scientific interpretations of Inuit culture and the Arctic, and provide insight into the crucial period of Inuit history dominated by European and North American colonial expansion into their homeland more than 130 years ago. With detailed documentation that will be of great use to academics, this book is also written in a lively prose that will prove accessible even to lay readers as they gain a deeper understanding of the eminent cultural anthropologist's academic background and thinking as well as his personal and intellectual life path.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.013 | 0.018 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".