Echoes of Terrorism in Today’s U.S. Classrooms
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
Nearly 20 years after the September 11, 2001 terrorist attacks on New York, Washington D.C., and Shanksville, PA there is a yearly ritual in a majority of US Schools. On the anniversary each year, teachers and students across the US learn about the attacks and memorialize the events. In many classrooms this is done through witnessing the events much like in 2001 for most of the world – through watching news or documentary footage of the events. In this article I use Hall’s concepts of encoding and decoding as well and socio-cultural theories to read these media representations both in the context of 2001 and again 20 years later to understand how these events are placed into broader narratives of US history. Many teachers today focus on the shock and horror of the events, an approach I argue is problematic as the affective response is emphasized over the historical context and consequences. Instead of using these media to foster collective memory, they could instead be viewed as primary sources to inquire into the historical context of the events and response in the form of the Global War on Terror. This approach would allow students to better understand the events leading to the attacks and the impact that the resulting responses by the US and other Western nations have had on their lives and the lives of others around the globe (e.g., Islamaphobia). After 20 years of conflict after these attacks it is time to both remember the victims of 9/11 as well as understand why it happened and the global toll of the response.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| 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