Land Grabbing and Global Governance: Critical Perspectives
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
Land grabbing has emerged as a significant issue in contemporary global governance that cuts across the fields of development, investment, food security, among others. Whereas land grabbing per se is not a new phenomenon, having historical precedents in the eras of imperialism, the character, scale, pace, orientation and key drivers of the recent wave of land grabs is a distinct historical phenomenon closely tied to major shifts in power and production in the global political economy. Land grabbing is facilitated by ever greater flows of capital, goods, and ideas across borders, and these flows occur through axes of power that are far more polycentric than the North-South imperialist tradition. In this introduction we argue that land grabbing speaks to many of the core questions of globalization studies. However, we note scholars of globalization have yet to deeply engage with this new field. We situate land grabbing in an era of advanced capitalism, multiple global crises and the role of new configurations of power and resistance in global governance institutions. The essays in this collection contribute to identifying land grabbing as an important and urgent topic for theoretical and empirical investigations to deepen our understanding of contemporary globalization and governance.
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 | 0.000 |
| 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) | 0.001 | 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