Mass capture against memory: Chinese head tax certificates and the making of noncitizens
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
This paper examines a complex bureaucratic process of remembering that was central to the Chinese head tax system in Canada known as C.I.9s (Chinese Immigration 9). The C.I.9s constitute the first mass use of identification photography in Canada. Unlike any moment in its prior history, the Canadian Government isolated one specific group of people, purely on the basis of race and ethnicity, in order to identify each individual member of that group through the creation of a massive apparatus that would systematically correlate their identity with a photographic image. This system was developed so that the government of Canada could remember these migrants in order to continue to exercise the processes of their exclusion from citizenship. Using the theoretical work of an early internet pioneer on surveillance, Philip Agre, and new media theorist, Wendy Chun, I suggest that the C.I.9s function as a technology of mass capture through which noncitizens are made.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.006 |
| 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