Mediated grassroots collective action: negotiating barriers of digital activism
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
While so far social media have been largely constructed as the quintessential tools of collective action and praised for their potential to empower individuals to act as civic agents, this paper foregrounds the tension between expectations created by public discourse and citizens’ own involvement with digital activism. This study adds to an understanding of barriers by examining how they are experienced by participants in mobilizations at the individual level. Looking at how obstacles of digital activism are experienced by citizens reveals the processes through which the structures of digital mediation impose limits over those who depend on them for their organization. By examining three regional Canadian cases, this research discusses the significant barriers mobilizers experience and finds that many of the obstacles organizers face point to an enduring need for a well-organized, tech-savvy, collaborative network as an organizing body to reflectively handle the challenges posed by digital grassroots civic mobilization.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it