The lived body, everyday and generative powers of war: toward an embodied ontology of war as experience
Bibliographic record
Abstract
Abstract This paper examines the emergence of the corporeal turn in International Relations (IR) research on war. It argues that a lack of a sustained ontological investigation leaves open two theoretical gaps, which impedes the development of an embodied theory of war: (1) the core concept of a body and its linkages with war are underdeveloped, and (2) existing research on the embodiment of war slips into discursivism or empiricism. The paper invites the corporeal turn scholarship to bring ontology to the forefront of IR war research and to expand a pool of theoretical resources for analyzing the corporeality of war by turning to existential phenomenology. With the phenomenological concept of the lived body placed at the heart of war ontology, war is conceived as a complex social institution with the generative powers born out of the capacity of the violent politics of injury to disrupt the lived bodies' sense-making and agential capacities, on the one hand, and the potential of individuals and communities to reclaim their interpretive integrity and agency through embodied everyday practices, on the other.
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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.078 |
| Scholarly communication | 0.010 | 0.011 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".