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Development, Productivity, and Sustaining Natural Capital

2008· article· en· W2107502616 on OpenAlex
Terrence S. Veeman

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian Journal of Agricultural Economics/Revue canadienne d agroeconomie · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicSustainable Development and Environmental Policy
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsNatural capitalProductivityPolitical scienceWelfare economicsCapital (architecture)Sustainable developmentHumanitiesEconomic growthGeographyEconomicsPhilosophy

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.536
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.014
GPT teacher head0.151
Teacher spread0.137 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it