Global value chains and development: redefining the contours of 21st century capitalism
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 global value chain (GVC) framework has taken the development policy world by storm. Since its academic origins 25 years ago, the framework has rapidly evolved into a major paradigm that is used by a wide range of international organizations, including the International Labor Organization, the United Nations Conference on Trade and Development, the World Bank and the World Trade Organization. The policy appeal of the framework lies in the developmentalist angle that academic pioneers such as Gary Gereffi have provided to GVC thinking. Starting from the premise that global lead firms have the corporate power to define the terms and conditions of supply chain membership, Gereffi (among others) has focused on the consequences of the expansion of GVCs into developing countries on local firms and workers, and has studied the policies that enhance upgrading prospects. In Global Value Chains and Development, Gereffi traces back the intellectual foundations and evolution of the GVC framework through a compilation of 2 original essays and 13 of his most influential articles. The introduction, which is an original contribution, is the book’s most personal chapter. Gereffi describes the dominant perspectives on the international economy and development in the 1970s and 1980s (modernization, dependency and world-systems theory) and explains how they helped set the stage for the emergence of the GVC framework. He skillfully intertwines the discussion with his own experiences and successes as a graduate student and young scholar, decidedly showing how his interactions with international organizations were present from the start of his academic career.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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