Screening out Diseased Bodies: Immigration, Mandatory HIV Testing, and the Making of a Healthy Canada
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
From the late nineteenth century onwards, health has been a technology of governance constitutive of national borders and racial boundaries. As many scholars have documented in various geographical contexts, nineteenth and twentieth-century public health policies have been intricately linked to racialized nation-formation in several ways. Whereas disease and ill-health were often the racial mark of the ‘colonized’ and ‘uncivilized’, the racialized concept of (European) citizenship was historically imagined through ideas around health and vitality.1 Today, as we move into the twenty-first century, public health remains an imperative of nation-formation. If contagion was historically seen as ‘the dark side of the civilizing mission’ as Michael Hardt and Antonio Negri claim, in the twenty-first century contagion remains a constant and present danger, but is now the dark side of globalization.2 Global flows of knowledge, capital, migrant labor, and travel — and the rapid speed at which these now occur — have opened up even greater possibilities for the transmission of germs and disease. ‘If we break down global boundaries and open up universal contact in our global village’, ask Hardt and Negri ‘how will we prevent the spread of disease and corruption?’3
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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