Culture wars : context, models and anthropologists' accounts
Bibliographic record
Abstract
Acknowledgements Introduction: Culture, context and anthropologists' accounts Deborah James and Christina Toren Chapter 1. Alliances And Avoidance: British Interactions with German-Speaking Anthropologists, 1933-1953 Andre Gingrich Chapter 2. Serving the Volk? Afrikaner anthropology revisited John Sharp Chapter 3. 'Making Natives': debating indigeneity in Canada and South Africa Evie Plaice Chapter 4. Culture in the Periphery: Anthropology in the Shadow of Greek Civilisation Dimitra Gefou-Madianou Chapter 5. Culture: the Indigenous Account Alan Barnard Chapter 6. We are All Indigenous Now: Culture vs. Nature in representations of the Balkans Aleksandar BoA'kovi Chapter 7. Which cultures, what contexts, and whose accounts? Anatomies of a moral panic in Southall, multi-ethnic London Gerd Baumann Chapter 8. What about White People's History? - Class, Race and Culture Wars in 21st Century Britain Gillian Evans Chapter 9. A Cosmopolitan Anthropology? Stephen Gudeman Chapter 10. The door in the middle: six conditions for anthropology Joao de Pina-Cabral Chapter 11. Adam Kuper: An Anthropologist's Account Isak Niehaus Notes on Contributors References Index
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.007 | 0.022 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".