Winter’s Topography, Law, and the Colonial Legal Imaginary in British Columbia
Bibliographic record
Abstract
This article examines how images of nature, weather, and topography disclose a politics of recognition (who is visible/invisible) invested in a burgeoning criminal justice milieu, where punishment of wrongdoing became increasingly racialized in British Columbia during the early confederation period of Canada's history. Drawing from archived court documents and colonial writing, it examines dominant environmental metaphors and tropes that structured this politics of recognition within the colonial legal imaginary. I argue that images and understandings of topography, nature, weather, and seasons shaped the background enactment of law in early Canadian lawmaking practices. By examining these natural tropes, this article seeks to understand the contours of a contextually specific colonial legal imaginary as a vital component for entry into the criminal justice system. This colonial legal imaginary predisposes certain groups, and particularly Indigenous peoples, as subject to the constraining power of law, thereby fueling the growth of crime control industries over the last 150 years.
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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 | 0.002 | 0.004 |
| Science and technology studies | 0.032 | 0.016 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".