1. DECENTERING HISTORY: LOCAL STORIES AND CULTURAL CROSSINGS IN A GLOBAL WORLD
Bibliographic record
Abstract
ABSTRACT This essay was first presented at the 2010 Ludwig Holberg Prize Symposium in Bergen, Norway, where I, as the prize recipient, was asked to describe my work and its import for our period of globalization. The essay first traces the interconnected processes of “decentering” history in Western historiography in the half century after World War II: the move to working people and “subaltern classes”; to women and gender; to communities defined by ethnicity and race; to the study of non‐Western histories and world or global history, in which the European trajectory is only one of several models. Can the historian hold onto the subjects of “decentered” social and cultural history, often local and full of concrete detail, and still address the perspectives of global history? To suggest an answer to this question, I describe my own decentering path from work on sixteenth‐century artisans in the 1950s to recent research on non‐European figures such as the Muslim “Leo Africanus” (Hasan al‐Wazzan). I then offer two examples in which concrete cases can serve a global perspective. One is a comparison of the literary careers of Ibn Khaldun and Christine de Pizan in the scribal cultures on either side of the Mediterranean in the late fourteenth and early fifteenth centuries. The other is the transmission and transformation of practices of divination, healing, and detection from Africa to the slave communities of Suriname in the seventeenth and eighteenth centuries.
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.018 | 0.032 |
| Scholarly communication | 0.011 | 0.011 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 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".