Bibliographic record
Abstract
The elimination of hunger, the reduction of poverty, and the wiser management of natural capital remain as critical, but elusive, objectives of society worldwide. In this Address, the issues of development, productivity, and the use of natural capital are explored and important linkages among these three areas are drawn. A special challenge is the identification of the conditions under which the productive base of a nation or region would increase on a sustainable basis, enhancing well‐being of its citizens over time. Policy reforms are identified, which would help to ensure that development is more sustainable, that productivity growth is adequate and appropriate, and that natural capital, particularly its critical components, is managed more wisely. L'élimination de la faim, la réduction de la pauvreté et la gestion judicieuse du capital naturel demeurent, pour les sociétés de partout dans le monde, des objectifs extrêmement importants, mais difficiles à atteindre. Le présent exposé analyse les questions liées au développement, à la productivité et à l'utilisation du capital naturel, et établit d'importants liens entre ces trois domaines. La détermination des conditions qui contribueraient à augmenter de façon viable la base productive d'une nation ou d'une région, et ainsi accroître le bien‐être de tous ses citoyens au fil du temps, pose un défi de taille. Les réformes politiques qui aideraient à assurer un développement durable, une croissance de la productivité adéquate et appropriée ainsi qu'une gestion judicieuse du capital naturel, particulièrement des éléments essentiels, sont mises en lumière.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.007 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".