Bibliographic record
Abstract
Subject area Urban poverty, mobilization, leadership, communication Study level/applicability This case is intended for graduate/postgraduate and MBA courses that discuss management issues in relation to corporate social responsibility, business and society or global issues. This case was successfully tested in an MBA course on sustainable development. These teaching notes result from this in-class experience. Case overview The morning of January 22, 2009. Cali, Colombia – Alicia Meneces was a member of the inaugural panel of the Simposio Internacional: Microfinanzas y Construcción de Paz (International Symposium: Microfinance as a Tool for Peacebuilding). The panel was composed of Álvaro Uribe (President of the Republic of Colombia), Enrique Garcia Rodriguez (President of the Development Bank of Latin America-CAF) and Luis Alberto Moreno (President of the Inter-American Development Bank). Her presence contrasted with that of the other panelists on several accounts: she was the only woman, she was the only panelist with direct and daily experience in poor neighborhoods and she was the only one familiar with the everyday processes of community mobilization in relation to microcredit in underprivileged communities. The case focuses on the message that Alicia Meneces intended to deliver to the audience of the Symposium based on her trajectory as a woman, as a community leader, and as the founder of the first Grameen microfinance institution in Colombia. Expected learning outcomes After using this case, students will be able to improve their understanding of poverty traps in developing countries; appreciate the challenges of living in poverty and the mechanisms of poverty production; and understand different forms of leadership. 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.
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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 | 0.008 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.000 |
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.
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".