Digital Solidarity, Analogue Mobilization: An Ethnography of the Technology-Embedded Protest Networks of the Québec Student Strike
Bibliographic record
Abstract
Background This article presents the results of an ethnographic study of the online and offline communities participating in the “Maple Spring” student strike in Québec as a case study for theorizing the trajectory of the technology-embedded social movement. Analysis Analyzing data collected during field visits that include over 50 interviews with participants, community organizers, union representatives, community-media producers, and activists, this article argues that it is the practices of online-offline sharing, belonging, strategizing, and affectively being together that allowed for a hybridized practice of social movements to translate into concrete direct democratic action. Conclusions and implications The social and mobile media uses of the Québec student-strike participants suggest that the strategy of using mediated exchanges in order to both build community belonging and share information/knowledge can be effective in mobilizing boots-on-the-ground actions as a means of democratic participation and social change for today’s hybridized social movements and direct actions.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.019 | 0.011 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".