Politics are the Sport of the Student: How Social Media has Changed the Riot Dynamic
Bibliographic record
Abstract
For engineering students in Colombia, law students in Mexico, and philosophy students in Brazil, scholarship took a backseat to political activism in the 1960s. This presentation examines why students were such a force within Latin American history during the period from 1958-1970. In 15 minutes, it provides an accessible, educational, and entertaining deconstruction of the origins of the Latin American student movement. I argue that this period represents the ‘tipping point’ of activism within Latin American Universities; one in which the sport of politics long practiced within institutions breached the walls of the ivory tower. In a quarter of an hour, the origins of this radicalism are presented:o Demographics (higher enrolment figures, diversifying student experiences, broadening academic curriculum into the humanities and social sciences)o Long-standing socio-cultural student respect (the position of students as ‘agents of change’, student co-governance of academic institutions)o Idealism (rejection of typical political process, ‘fetishization’ of counter-cultural’)all set against the backdrop of Cold War tensions. Organized against perceptions of government corruption, neo-liberalization and American interventionism, students protested, joined guerrilla groups, forced strikes, and – in the case of Mexico – were eventually massacred by the state. Latin American students broadened the definition of a university from a house of scholarship to a training ground for citizenry, with a directive to “provide leaders for nation-building.” The audience will be encouraged to ask questions and will leave with broader understandings of the role of students and universities in Latin America and beyond.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.018 | 0.011 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".