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
Taking the Canada–U.S. border as a starting point to refl ect on emergent smart border practices, this essay analyzes the diff erential yet central place that race continues to hold in the regulation of mobilities through the technopolitical mechanism of the border. Against claims that smart borders off er a more scientifi c and “postracial” mode of border control, the essay off ers a situated conceptual refl ection on how race is currently being (re)shaped by the complex intersection of biopolitical and algorithmic forms of governmentality as they converge in border technologies. Th e essay proposes to think through four diff erent sets of smart border technologies that enact and track race as a biopolitical assemblage in particular ways, analyzing the associated perceptual codes each puts into play (biometric, movement sensing, drone, and databased). It closes by refl ecting on how these algorithmic technologies infl ect the biopolitical targeting of race and mobility in ways that serve to insulate smart border practices from democratic accoun tability.
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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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