Wood Frames: Framing the Forests in British Columbia
Bibliographic record
Abstract
Abstract Much research into social movement framing activity has been based on qualitative case-study analysis of specific movements. These analyses are limited in that are they unable to systematically track any long-term relationships that might exist among a variety of social movement framing strategies. A series of hypotheses were developed that deal with the frequency and prevalence of environmental activists framing tactics over time, which include the frame alignment processes of transformation and amplification, as well as core framing activities of diagnosis, prognosis, and motivation. A quantitative content analysis of news media stories about the protection of temperate rainforests in British Columbia, Canada, over a seven-year period was conducted to test the hypotheses. Findings show that amplification frames are more prevalent than transformation frames, and diagnostic frames are more prevalent than prognostic or motivational frames. In the discussion, several areas for future quantitative research into social movement framing are suggested.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".