Bibliographic record
Abstract
Abstract This chapter studies a political rationale by which colonial law forged socially assigned individuals as criminally accused persons. Focussing on archived documents of a preliminary examination that took place in 1883 in the North West Territories (now Alberta), it highlights how an accused person was moulded as a culpable individual. Arranged by a justice of the peace, and member of the North West Mounted Police, the investigation in this case reveals how colonial law unleashed an individualising force that obscured power relations behind the settlement it aimed to further. The unequal ways in which certain distinctions of person were legally recognised and individualised may be traced to long-standing western uses of social hierarchies as ‘masks’ from which law unequally recognised persons. Challenging such approaches to personhood, the analysis works off Naffine’s ‘legalistic’ ideas of persons as fictions, calling for a retelling of the fictions around accused persons. By pointing out the possibility of accusing relational rather than individual constructions, it concludes with a brief insinuation of legal forms directed at ‘collective persons’, interrupting a key political logic of colonial criminal law with allied promises of social justice beyond colonisation.
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.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.023 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".