Latin American Philosophers: Some Recent Challenges to Their Intellectual Character
Bibliographic record
Abstract
For Latin American philosophers, the quality of their own philosophy is a recurrent issue. Why hasn’t it produced any internationally recognized figure, tradition, or movement? Why is it mostly unknown inside and outside Latin America? Although skeptical answers to these questions are not new, they have recently shifted to some critical-thinking competences and dispositions deemed necessary for successful philosophical theorizing. Latin American philosophers are said to lack, for example, originality in problem-solving, problem-making, argumentation, and to some extent, interpretation. Or does the problem arise from their vices of “arrogant reasoning?” On my view, all of these answers are incomplete, and some even self-defeating. Yet they cast some light on complex, critical-thinking virtues and vices that play a significant role in philosophical thinking.
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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 | 0.040 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.009 | 0.042 |
| Scholarly communication | 0.019 | 0.016 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.008 | 0.018 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".