Consumers on a Mission to Force a Change in Public Policy: A Qualitative Study of the Ongoing Canadian Seafood Boycott<sup>1</sup>
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
ABSTRACT Netnography (i.e., the online equivalent of ethnography) was used to analyze consumer boycott pledges submitted to an online boycott petition that was designed to recruit consumer participation in the contentious Canadian Seafood Boycott. The purpose was to investigate what motivates consumers to pledge boycott participation as well as to provide a preliminary understanding of boycott pledgees' psychographic makeup. The findings show that petition signatories are generally very angry about the Canadian Seal Hunt, pledge to boycott for a variety of objectives (instrumental, expressive, and punitive), abhor cruelty against animals, do not believe that it is acceptable to kill an animal for its fur, and worry about the environment in general. Many are very religious and quite a number believe that traditions that embrace animal cruelty need to be abolished. The findings further indicate that concern for animal welfare/rights has been moved into the mainstream.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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