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Record W2003983630 · doi:10.1108/eemcs-05-2014-0143

Nuru International: empowering farmers to fight extreme poverty

2014· article· en· W2003983630 on OpenAlex

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.

Bibliographic record

VenueEmerald Emerging Markets Case Studies · 2014
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCommunity Development and Social Impact
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsEntrepreneurshipDiversification (marketing strategy)MarketingPovertyBusinessSocial entrepreneurshipKenyaEconomicsEconomic growthFinancePolitical science

Abstract

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Subject area Social Innovation and Entrepreneurship. Study level/applicability The case is suitable for graduate (MSc, MBA) and advanced undergraduate (BSc, BAs) students and applicable for course material focusing on social entrepreneurship, social ventures, strategic management, sustainable development and emerging markets. Case overview This case explores Nuru International, a non-profit enterprise established in 2008 with the mission to “end extreme poverty throughout the world”. Jake Harriman, the founder and CEO of NURU, together with his team are on the onset of diversifying crop offerings among Kenyan farmers in an attempt to alleviate challenges stemming from severe climatic changes and low-crop quality. As 2014 is the first year for Kenyan farmers to grow alternative crops, the Nuru team faces the challenging task of convincing farmers to embrace diversification. Additionally, as part of its proof of concept philosophy, Nuru is establishing operations in Ethiopia. There, Nuru has to identify best marketable crops and promote these among Ethiopian farmers while empowering and engaging local leaders in the process. Finally, the team is looking for financing opportunities for Nuru's entrepreneurial mission. Their funding opportunities come from the private markets, the philanthropic market and the impact investing space. They are carefully analyzing these options and looking for alternatives in capital markets. Pondering on Nuru's rewarding experience with KIVA, a Web-based lending platform, the team wonders if crowdfunding may be a viable option to finance Nuru's operations in Ethiopia. They are interested in equity crowdfunding but are not sure what might be the associated opportunities and risks. They, therefore, need to assess the merits of the practice and decide on how compelling it is for Nuru's expansion plans to Ethiopia. Expected learning outcomes The case aims to help students comprehend the role of hybrid organizational designs in meeting broad societal issues such as extreme poverty; evaluate collective impact initiatives in addressing strategic and behavioral changes for organizations operating in contexts of extreme poverty where partnerships are the key for success; assess diverse capital steams for social entrepreneurs and understand how these relate to the stages of evolution of a social venture; and elaborate on crowdfunding as a nascent source of capital for social enterprises. Supplementary materials Teaching Notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.342
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.067
GPT teacher head0.306
Teacher spread0.238 · 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