Critical Military Epistemology: Designing Reflexivity into Military Curricula
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
The author recommends the discipline of the Sociology of Knowledge as an educative underpinning to enhance reflexivity in military practice. The essay develops four postmodern propositions for designing reflexivity into military curricula: 1. That military epistemology is an outgrowth of an historic socialization process; 2. That using Searle’s fact continuum, we can reveal the subjectivity of military knowledge by exposing the objectivation of socially constructed facts; 3. That US military scientism is an ideology, hence, a potential social hazard for those who criticize scientism as the underlying logic of practice; and, 4. Critical Military Epistemology (CME), based in the other three propositions, is one educative approach which will enhance reflexivity, providing a plurality of underlying logics of practice. The author offers recommendations for a CME approach, advocating a plurality of onto-epistemological assumptions, to include critically studying military history as a history of military sensemaking, exposing practitioners to the assumptions of SoK, reading the seminal work of Donald A. Schon, and applying CME to promote interdisciplinary awareness. The essay concludes that imbedding CME philosophy in curricula designs will enhance tacit knowledge, emancipatory thinking, reframing, and critical reflexivity in the pursuit of novel underlying logics of practice.
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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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