Transforming Bodies and Religions: Powers and Agencies in Europe
Bibliographic record
Abstract
This book sheds an interdisciplinary light on ‘transforming bodies’: bodies that have been subjected to, contributed to, or have resisted social transformations within religious or secular contexts in contemporary Europe. It explores the intersections of race, ethnicity, gender, sexuality and religion that underpin embodied transformations. Using post-secularist, postcolonial and gender/queer perspectives, it aims to gain a better understanding of the orchestrations and effects of larger social transitions related to religion. This volume is the outcome of the intensive collaboration of the authors, who for years have been meeting regularly in Utrecht, the Netherlands, to discuss themes related to religion and ‘the challenge of difference’, with an added afterword by Prof. Pamela Klassen from the University of Toronto. The book is divided in three subsections that focus on particular types of embodiment: body politics in governmental and NGO organisations; the role of the body in literary and/or autobiographical narratives; and ethnographic case studies of bodies in daily life. Doing so, it provides an innovative exploration of contemporary religion and the body. It will, therefore, be of great interest to scholars of Religious Studies, Gender and Sexuality Studies, Post-Colonial Studies, Anthropology, Sociology, Theology, and Philosophy.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.015 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".