Hashtivism as public discourse: Exploring online student activism in response to state violence and forced disappearances in Mexico
Bibliographic record
Abstract
Mexico has a long history of tensions between the government and student activists. This history dates back to student protests that ended with the State’s violent repression of students in 1968. These tensions were reignited with the student occupation of Mexico’s National Autonomous University from 1999 to 2000, which ended through intervention by the national federal police. In the 21st century, student expression and activism occurs in the physical world as well as on social media sites. For example, the hashtag #YoSoy132 was created by a student movement begun at the Jesuit Universidad Iberoamericana in opposition to the then candidate and now President of the country, Enrique Peña Nieto. In this paper, we conceptualize social media sites as virtual public spaces, and we employ cultural critical visual discourse analysis to examine the case of student “hashtivism,” online activism through hashtags, in response to the forced disappearance of 43 students from the Raúl Isidro Burgos Rural Teachers College of Ayotzinapa in September 2014.
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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 | 0.006 |
| 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 | 0.011 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".