Unmaking militarized masculinity: veterans and the project of military-to-civilian transition
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Feminist scholarship on war and militarization has typically focussed on the making of militarized masculinity. However, in this article, we shed light on the process of ‘unmaking’ militarized masculinity through the experiences of veterans transitioning from military to civilian life. We argue that in the twenty-first century, veterans’ successful reintegration into civilian society is integral to the legitimacy of armed force in Western polities and is therefore a central concern of policymakers, third-sector service providers, and the media. But militarized masculinity is not easily unmade. Veterans often struggle with their transition to civilian life and the negotiation of military and civilian gender norms. They may have an ambivalent relationship with the state and the military. Furthermore, militarized masculinity is embodied and experienced, and has a long and contradictory afterlife in veterans themselves. Attempts to unmake militarized masculinity in the figure of the veteran challenge some of the key concepts currently employed by feminist scholars of war and militarization. In practice, embodied veteran identities refuse a totalizing conception of what militarized masculinity might be, and demonstrate the limits of efforts to exceptionalize the military, as opposed to the civilian, aspects of veteran identity. In turn, the very liminality of this ‘unmaking’ troubles and undoes neat categorizations of military/civilian and their implied masculine/feminine gendering. We suggest that an excessive focus on the making of militarized masculinity has limited our capacity to engage with the dynamic, co-constitutive, and contradictory processes which shape veterans’ post-military lives.
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.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 it