Making and Remaking the World Anew
Bibliographic record
Abstract
Abstract As a particular project of international institutions, development is a way of seeing, assessing, transforming, and imagining the world in relational terms. Interventions are conducted in the name of creating in ‘developing’ and ‘underdeveloped’ places, preferred models of social and economic organisation putatively embodied by the ‘developed’ world. This relational exercise was originally calibrated in terms of a relatively crude comparison between colonies and their metropoles. From the mid-twentieth century onwards, this became a comparison between newly independent nations and their more ‘advanced’ peers in the developed world. But while it has taken different forms over time, and constantly mutates, this imagined relation, or model, originates in the West and continues to be anchored by the twin objectives of civilisation and commerce, and in the binary of self and other. This introductory chapter charts three ways to approach thinking about domination and resistance in the context of international law and development.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.028 |
| Scholarly communication | 0.015 | 0.014 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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".