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
In a time of intensifying xenophobia and anti-immigration measures, this book examines the impulse to acquire a deeper understanding of cultural others. Immersions in Cultural Difference takes readers into the heart of immersive simulations, including a simulated terrorist training camp in Utah; mock Afghan villages at military bases in Canada and the UK; a fictional Mexico-US border run in Hidalgo, Mexico; and an immersive tour for settlers at a First Nations reserve in Manitoba, Canada. Natalie Alvarez positions the phenomenon of immersive simulations within intersecting cultural formations: a neoliberal capitalist interest in the so-called "experience economy" that operates alongside histories of colonization and a heightened state of xenophobia produced by War on Terror discourse. The author queries the ethical stakes of these encounters, including her own in relation to the field research she undertakes. As the book moves from site to site, the reader discovers how these immersions function as intercultural rehearsal theaters that serve a diverse set of strategies and pedagogical purposes: they become a "force multiplier" within military strategy, a transgressive form of dark tourism, an activist strategy, and a global, profit-generating practice for a neoliberal capitalist marketplace.
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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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