Bibliographic record
Abstract
Reframing anthropology: contemporary art, curatorial practice, postcolonial activism, and museums\nHow can we rethink anthropology beyond itself? In this book, twenty-one artists, anthropologists, and curators grapple with how anthropology has been formulated, thought, and practised ‘elsewhere’ and ‘otherwise’. They do so by unfolding ethnographic case studies from Belgium, France, Germany, Italy, the Netherlands, and Poland – and through conversations that expand these geographies and genealogies of contemporary exhibition-making. This collection considers where and how anthropology is troubled, mobilised, and rendered meaningful.\nAcross Anthropology charts new ground by analysing the convergences of museums, curatorial practice, and Europe’s reckoning with its colonial legacies. Situated amid resurgent debates on nationalism and identity politics, this book addresses scholars and practitioners in fields spanning the arts, social sciences, humanities, and curatorial studies. \nPreface by Arjun Appadurai. Afterword by Roger Sansi\nContributors: Arjun Appadurai (New York University), Annette Bhagwati (Museum Rietberg, Zurich), Clémentine Deliss (Berlin), Sarah Demart (Saint-Louis University, Brussels), Natasha Ginwala (Gropius Bau, Berlin), Emmanuel Grimaud (CNRS, Paris), Aliocha Imhoff and Kantuta Quirós (Paris), Erica Lehrer (Concordia University, Montreal), Toma Muteba Luntumbue (Ecole de Recherche Graphique, Brussels), Sharon Macdonald (Humboldt-Universität zu Berlin), Wayne Modest (Research Center for Material Culture, Leiden), Bonaventure Soh Bejeng Ndikung (SAVVY Contemporary, Berlin), Margareta von Oswald (Humboldt-Universität zu Berlin), Roger Sansi (Barcelona University), Alexander Schellow (Ecole de Recherche Graphique, Brussels), Arnd Schneider (University of Oslo), Anna Seiderer (University Paris 8), Nanette Snoep (Rautenstrauch-Joest-Museum, Cologne), Nora Sternfeld (Kunsthochschule Kassel), Anne-Christine Taylor (Paris), Jonas Tinius (Humboldt-Universität zu Berlin)
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.014 | 0.055 |
| Scholarly communication | 0.017 | 0.015 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.009 | 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".