Bibliographic record
Abstract
Abstract Situating grassroots autonomous media within complex contemporary media ecologies and protest movements, this article uses resilience theory to critically analyse the characteristics generative of adaptive capacity in alternative media. The organizing structures, decisionmaking processes and social movement strategies of two case studies – Concordia University TV (CUTV) and the Montreal Media Co-op – are analysed using online self-produced media materials and participant observation during the 2012 Quebec Student Strike. Both groups have existed for more than ten years, achieving a balance between anti-authoritarian militant activist culture and formal organizational structure. We find they are open to remediation and reconfiguration as needed, including adapting new technologies and organizing journalism teams and peer-to-peer training of volunteers. In addition, these forms of ‘direct action journalism’ exhibit professionalism beyond the basic amateurism of most citizen journalism. Some of the characteristics of grassroots autonomous media production in which resilience may be cultivated include anti-authoritarian militant spaces such as CUTV’s media lab, formalized organizational structures with mixed funding models such as the Media Co-op’s multi-stakeholder cooperative, and deeper relationships and networks with social movements exhibited by both, including reconfigured horizontal relationships among media producers and users.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.005 | 0.022 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".