Critical Ancient World Studies: The Case for Forgetting Classics
Bibliographic record
Abstract
This volume explores and elucidates critical ancient world studies (CAWS), a new model for the study of the ancient world operating critically, setting itself against a long history of a discipline formulated to naturalise a hierarchical, white supremacist origin story for an imagined modern West.br/br \nbr/br \nCAWS is a methodology for the study of antiquity that shifts away from the assumptions and approaches of the discipline known as classical studies and/or classics. Although it seeks to reckon with the discipline’s colonial history, it is not simply the application of decolonial theory or the search to uncover subaltern narratives in a subject that has special relevance to the privileged and powerful. Rather, it dismantles the structures of knowledge that have led to this privileging, and questions the categories, ideas, themes, narratives, and epistemological structures that have been deemed objective and essential within the inherited discipline of classics. The contributions in this book, by an international group of researchers, offer a variety of situated, embodied perspectives on the question of how to imagine a more critical discipline, rather than a unified single view. The volume is divided into four parts – “Critical Epistemologies”, “Critical Philologies”, “Critical Time and Critical Space”, and “Critical Approaches” – and uses these as spaces to propose disciplinary transformation.br/br \nbr/br \niCritical Ancient World Studies: The Case for Forgetting Classics/i is a must-read for scholars and practitioners teaching in the field of classical studies, and the breadth of examples also makes it an invaluable resource for anyone working on the ancient world, or on confronting Eurocentrism, within other disciplines.
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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 | 0.011 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.008 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.014 | 0.023 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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; both teacher heads agree on what is shown here.
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".