Islamic art and the museum : approaches to art and archeology of the muslim world in the twenty-first century
Bibliographic record
Abstract
Contents Introduction: and the Museum Benoit Junod, Georges Khalil, Stefan Weber, Gerhard Wolf The Role of the Museum in the Study and Knowledge of Oleg Grabar Concert of Things. Thoughts on Objects of in the Museum Context Stefan Weber Representations of The Concept of Art: Inherited Discourses and New Approaches Gulru Necipoolu at a Crossroads? Nasser Rabbat Intrinsic Goals and External Influence: On Some Factors Affecting Research and Presentation of Lorenz Korn The Study of at a Crossroads, and Humanity as a Whole Kirsten Scheid Preliminary Thoughts on an Entangled Presentation of Islamic Art Vera Beyer Context and Aesthetics Multivalent Paradigms of Interpretation and the Aura or Anima of the Object Avinoam Shalem The Stuff of History: Everyday Objects, the Construction of Ambiguous Meanings, and the Afterlife of Social Things Christian Sassmannshausen The Cultural Turn, the Spatial Turn, and the Writing of Middle Eastern History Gudrun Kramer The Power of Layers or the Layers of Power? The Social Life of Things as the Backbone of New Narratives Beshara Doumani Historian's Task: Make Sure the Object Does Not Turn Against Itself in the Museum Munir Fakher Eldin Aesthetics Versus Context? Towards New Strategies for the Study of the Object Martina Muller-Wiener Versus Material Culture: Museum of or Museum of Culture? Julia Gonnella Foundation and Change Subthemes and Overpaint: Exhibiting in American Museums Mary McWilliams Early History in Germany and Concepts of Object and Exhibition Jens Kroger and the Invention of the Masterpiece: Approaches in Early Twentieth-Century Scholarship Eva Troelenberg The Jameel Gallery at the Victoria and Albert Museum in London: Working from Vision to Reality Juliette Fritsch Do You Speak Art? The Museological Laboratory Susan Kamel, Christine Gerbich, Susanne Lanwerd Museums of and Public Engagement Seif El-Rashidi Museums and Their Formation Miriam Kuhn Examples from the Museum World Concepts Behind the New Installation of in the David Collection Kjeld von Folsach The Option of Interim Reinstallation: Brooklyn Museum's Arts of the World Galleries Ladan Akbarnia The Museum of Art, Doha Oliver Watson in the Hermitage Museum: Projects and Plans Anton D. Pritula at the British Museum: Strategies and Perspectives Fahmida Suleman The Aga Khan Museum in Toronto Benoit Junod New Spaces for Old Treasures: Plans for the New Museum of at the Pergamon Museum Stefan Weber A Wooden Room with Many Doors - : Social, Physical and Intellectual Accessibility at the Museum of in Berlin Christine Gerbich Notes on Contributors Notes Sources Acknowledgements List of Illustrations Index
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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 | 0.001 | 0.000 |
| 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 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".