Corporate Educational Philanthropy for Racialized Latin America: A Provocation for More Critical Studies
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
ABSTRACT Since the 1990s, the corporatization of humanitarian aid and the expansion of private donors have filled the gap left by declining government investment in public education worldwide. As these corporate philanthropies take over work once done by governments, they gain spaces of power. This phenomenon has intensified with the global crisis of 2008. The paper asks what are the modalities of domination in corporate philanthropic educational interventions for racialized students in Latin America today, and how the critical literature interprets this phenomenon. It proposes a narrative review that reveals three main analytical trends. First, some studies examine how many corporate philanthropic interventions in education actually have a market colonizing motive. Second, other research focuses on the role of sponsored academic discourses, conventions, networks of influence, and social movements in shaping education policy reforms. Third, research shows that philanthropic efforts, despite their claims to “uplift” racialized students, often fail to disrupt the cycles of exclusion and subalternization they face. The paper concludes by highlighting the need for a broader critical framework for analyzing corporate philanthropic interventions in education, challenging the reductive and paternalistic representations of racialized students that often underlie these efforts, and understanding them within broader historical processes.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| 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