Unpacking Frame Resonance: Professional and Experiential Expertise in Intellectual Property Rights Contention*
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
In 2004, Canadian officials introduced amendments to the country's Plant Breeders' Rights Act. An intellectual property movement supported the changes and a farmers' rights movement opposed them. Though conditions seemed to favor the former, the latter was more successful. To explain this, I compare each movement's deployment of professional and experiential expertise in their framing attempts. I argue that professional expertise, acquired through formalized training, and experiential expertise, gained through lived experience, provide unique and important support in claims making; highly resonant frames are often those built and maintained with both. Indeed, the farmers' rights movement's use of professional and experiential expertise together in framing the amendments helps account for its efficacy against the intellectual property movement (which failed to do so). This analysis contributes to our understanding of frame resonance and highlights underexplored South-to-North channels of influence due to the particular role of Southerners' experiential expertise in this comparison.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| 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