The mediatization of leadership: grassroots digital facilitators as organic intellectuals, sociometric stars and caretakers
Bibliographic record
Abstract
Scholars of both resource mobilization theory and new social movement theory recognize leadership as integral to traditional social movements. Following global protest movements of 2011, some now characterize movements relying on social media as horizontal and leaderless. Whether due to an organizational shift to networks over bureaucracies or due to a change in values, many social movements in the present protest cycle do not designate visible leadership. Does leadership in social media activism indeed disappear or does it take on new forms? This paper undertakes an in-depth analysis of data obtained through interviews, event observations and analysis of media content related to three Canadian cases of civic mobilization of different scale, all of which strategically employed social media. The paper proposes a conceptual framework for understanding the role of these mobilizations’ organizers as organic intellectuals, sociometric stars and caretakers. By looking closely at the three cases through the lenses offered by these concepts, we identify the specific styles that characterize digitally mediatized civic leadership.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.010 | 0.028 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".