Bibliographic record
Abstract
Subject area The case addresses issues related to value chains, sustainable businesses, business environment in emerging economies and cross-cultural issues. applicability/applicability This case would be best addressed by students in upper years of their undergraduate degree or at a Master's level. Case overview The case addresses a project conducted by MEDA in Pakistan which focused on developing a value chain in the embroidery sector with the end goal of improving the livelihood of homebound rural women. The case walks the students through the local cultural constraints, the project design the development of the various value chain actors and the most significant outcomes. The primary issue requires the students to evaluate the most appropriate exit strategy for MEDA which would not harm the existing networks and allow the whole value chain to continue sustainably. Expected learning outcomes To appreciate the complexity of value chain development while understanding the benefits and opportunities they offer. To understand the importance of sustainability and how this can be achieved using market tools. To grasp the concept of exit strategies in the context of development projects and explore various ways these can be structured. To identify the impact of culture on business environment. Integrating the poor into thriving markets. Business as a development tool. Supplementary materials 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.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.101 | 0.017 |
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".