Building Spectatorial Solidarity against the “War on Terror” Media-Military Gaze
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
At the dawn of the 21st century the “War on Terror” ushered in an era in which some were besieged by wars and others by war-related imagery. For the fortunate who live outside of war zones, mostly in the Global North and West, the experience of war has been primarily a mediated one. With the advent of digital imagery and its many evolving and developing technological transmutations, the possibilities of reproduction, representation, manipulation, and circulation have grown exponentially in the past twenty years. Yet in the grand scheme of human communication history, the “pictorial turn” is a relatively recent phenomenon that requires further analysis. In this article, I unpack and analyze some of the key media moments from the vast visual lexicon and iconography of the “War on Terror” to reveal its scaffolding and machinations and offer counterstrategies of resistance. I argue that the “War on Terror” is the orchestrated sum of literal and figurative imagery, a coordinated public relations disinformation media campaign designed to hide real wars and their true destruction and costs.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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