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Record W2151161493 · doi:10.5539/jsd.v5n5p42

African Adaptation to Climate Change from the Viewpoint of Green Revolution II

2012· article· en· W2151161493 on OpenAlexvenueno aff
Ryunosuke Kikuchi

Bibliographic record

VenueJournal of Sustainable Development · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Innovations and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsClimate changeAdaptation (eye)Psychological resilienceScope (computer science)AgricultureGreen RevolutionEnvironmental resource managementGlobal warmingResilience (materials science)Climate change adaptationNatural resource economicsGeographyEcologyEconomicsComputer scienceBiologyPsychology

Abstract

fetched live from OpenAlex

One fundamental question is how climate change adaptation can be fitted into the development and planning process and an important task lies in understanding the full scope of its implications. Climate change will affect African agriculture in particular. Adaptation pathways for climate change suggest greater net benefits at a local level than a global level; it is therefore considered that adaptation is an attractive instrument in Africa. Resilience-based actions play a major role in adaptation of African agriculture, and these actions basically overlap with the concept of the green revolution (dubbed Green Revolution II). The results from a model run based on this concept indicates that climate change influences technology progress and spread, and that technology progress and spread influence the climatic effects on agricultural output.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.055
GPT teacher head0.250
Teacher spread0.195 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2012
Admission routes1
Has abstractyes

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