Bibliographic record
Abstract
Virginia R. DominguezUniversity of Illinois at Urbana-ChampaignUSAWalls, Material and Rhetorical: Past, Present, and FutureAbstract: An introduction to this special issue of RIAS on walls, in light of President Trump’s proposal to build a tall and beautiful wall along the US-Mexico border and the multiple concerns it raises, this essay, like this issue of RIAS as a whole, provides comparative background on walls built at different times in the past and in different locations around the world, exploring their intended efficacy and questionable results, their transformation over time into sites of tourism, uncertain peace, and unstable truces. Raising questions about both rhetoric and materiality, it suggests that the matter does not just concern Trump’s views and policies but, rather, much more general views in the US toward Mexico and Mexicans. The essay raises the specters of both racism and imperialism in the rhetoric and proposals coming from the White House, and it seeks to use contributions from scholars in Italy, Israel, Mexico, the U.S., Hungary, South Korea, Denmark, and Canada to put it all in broader perspective.Keywords: Trump’s proposed wall, introduction, rhetoric, polls, comparisons
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.412 | 0.139 |
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 itClassification
machine, unvalidatedMachine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".