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Record W3153881249 · doi:10.24908/iqurcp.9576

Politics are the Sport of the Student: How Social Media has Changed the Riot Dynamic

2018· article· en· W3153881249 on OpenAlexvenueno aff
Isabelle Duchaine

Bibliographic record

VenueInquiry Queen s Undergraduate Research Conference Proceedings · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical theory and Gramsci
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsLatin AmericansScholarshipPolitical scienceSociologyGender studiesLaw

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.484
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0050.023
Scholarly communication0.0010.000
Open science0.0030.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.197
GPT teacher head0.426
Teacher spread0.229 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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