La Vía Campesina and its Global Campaign for Agrarian Reform
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
Vía Campesina's ‘Global Campaign for Agrarian Reform’ (GCAR) has made a significant impact (inter)nationally in reshaping the terms of the land reform debates. However, its impact on other land policy dynamics has been marginal. Meanwhile, the campaign inadvertently exposed latent class‐based and ideological distinctions within the transnational network. This essay explains how the GCAR emerged, and has been able to influence the broader global land reform debates, but has not been able (so far) to significantly impact other major dimensions of the land policy debates. It argues that if GCAR is to retain relevance, it must deepen and broaden its current position on land to go beyond the parameters of conventional land reform. Moreover, it must also find ways to better integrate ‘global issue framing from above’ with ‘local/national campaigns from below’ if it is to strengthen its process of ‘issue/campaign externalization/transnationalization’. Doing this may require the network to rethink some of its well‐established organizational practices and ideological perspectives.
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) | 0.000 | 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