Bibliographic record
Abstract
More than ten years ago I started to reflect on how sociology is seizing Latin America as an object of study. My goal was to acquire more knowledge about sociology in and about Latin America. But, perhaps at least as importantly, my goal was also to understand how sociology is representing the region and how it is participating in its transformation. At a more conceptual level, I was interested in how sociology selects social problems and suggests social change. Ultimately, this is helping me forge opinions about knowledge and social sciences. For many reasons, some of which are presented in this text, I think Latin America should be protected from sociological problematization or the process by which social phenomena are represented in terms of problems. Here, I would like to reflect on social science and society. This is not just a summary of my major findings. I am using this summary as an excuse to discuss on the problematization of Latin America. Let me start by briefly summarizing some of my research results and then by reflecting on problematization and the colonialism of knowledge. To do so, I will be attempting to answer the question “Should we protect Latin America against sociology?”
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.009 | 0.053 |
| Scholarly communication | 0.014 | 0.014 |
| Open science | 0.002 | 0.015 |
| Research integrity | 0.003 | 0.009 |
| Insufficient payload (model declined to judge) | 0.004 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".