New Perspectives on Base of the Pyramid Strategies
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.
Bibliographic record
Abstract
The early literature on base of the pyramid (BOP) strategies argued that multinational enterprises can contribute significantly to poverty alleviation of the poorest population in the world. An emergent perspective suggests that the solution to poverty lies within the BOP itself. Here, entrepreneurship within the BOP population is seen as the more credible solution to poverty. In this Special Issue introduction, we briefly present how the literature has further shifted the discussion of BOP strategies toward issues such as innovation, networks, business models, and sustainability at the BOP. This analysis signals a gap in our knowledge related to the success factors in business models of BOP entrepreneurs, with attention to economic, social, and environmental impacts. We present the five articles accepted for publication in this Special Issue, of which three contribute to our knowledge of BOP business models and two to our knowledge of sustainability at the BOP. In conclusion, we propose several avenues for future research.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it