Receiving the<i>Headian</i>Legacy: International Lawyers, South-to-North Resource Transfers, and the Challenge of International Development
Bibliographic record
Abstract
A new factor has recently reemerged: financial transfers from South to North. Reemerged, for it was also a common occurrence in earlier colonial periods. — Ivan Leigh Head Written over fifteen years ago by Ivan Leigh Head, a highly distinguished Canadian international lawyer, foreign policy expert, and international development thinker, the words contained in the above quotation point firmly at this great man’s analytic incisiveness and hint at the sheer depth of his fairness of mind. For although the net transfer of resources from the much poorer geopolitical “South” to a far richer “North” remains to this day one of the most important obstacles to international development, rarely have the dominant accounts of international development given this phenomenon the pride of place that it surely deserves. Ivan Head was therefore well ahead of his time in foregrounding, highlighting, and criticizing this very disturbing, yet continuing, feature of South-North relations.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.022 | 0.023 |
| Scholarly communication | 0.015 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".