Beyond Film Impact Assessment: Being Caribou Community Screenings as Activist Training Grounds
Bibliographic record
Abstract
This article draws from a multiyear study of the impact of Being Caribou to propose a model of how social movements build participation and leadership through community film screenings. From 2004 to 2005, hundreds of thousands of people saw Being Caribou at volunteer organized community and house party screenings that served as activist training grounds for the Alaska Coalition’s Arctic Refuge campaign. Drawing on media history and civic engagement research methods, I establish how these screenings built on previous movement storytelling efforts and infrastructures to knit communities and organizations together; deepen investment in Arctic Refuge protection; and strengthen the skills, organizing capacity, and “leadership-in-practice” of a broad swathe of individual activists.
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How this classification was reachedexpand
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 | 0.012 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.001 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.010 | 0.003 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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 teacher head, 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".