Grounding legal geography: Conversations on law, space, and power across disparate geographies
Bibliographic record
Abstract
Legal geographic research is a heterogeneous and lively academic field that, for decades now, has offered a wide array of critiques to hegemonic takes on ‘law’, ‘space’, and ‘power’, and the relation among them. Nonetheless, a broader engagement with legal geographic scholarship beyond the Anglosphere has not been fully embraced. This article introduces a set of contributions to grounding legal geography: First, as a set of practices that situate us in particular places, or severs the connections we have with those places; and second, as a form of knowledge, constituted in particular places, in distinctive ways. In centering Colombian legal geographies, the articles in this theme issue offer a nuanced understanding of legal formations and practices that shape territory, property, mobility, security, formality, and legality, among other key issues in the study of law, space, and power.
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How this classification was reachedexpand
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 | 0.000 | 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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".