‘In a Settled Country, Everyone Must Eat’: Four Questions About Transnational Private Regulation, Migration, and Migrant Work
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
First, I would like to acknowledge where this paper was presented and where the work of revising it into an article took place. I would like to acknowledge the territory, which is not just Toronto, Ontario, Canada, but also Tkaronto, a Mohawk or Kaniekehaka word (as are Ontario and Canada). This word is from one of the languages of the Six Nations that comprise the Haudenosaunee Confederacy (People of the Longhouse), perhaps better known in this symposium by the French colonial name of Iroquois. Toronto and its surrounding territory are traditionally of the Huron-Wendat people, the Seneca Nation of the Haudenosaunee, and with title most recently lying with the Mississaugas of New Credit (Anishinabe). I would like to acknowledge the territory and thank these hosts, as well as the conference organizers for their generous invitation to participate in these discussions on transnational private regulation (TPR).
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 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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