CHOCOLATE AND POLITICS: A CROSSNATIONAL, SURVEY-BASED EXPERIMENT ON RECRUITMENT TO A BOYCOTT CAMPAIGN*
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
Organizations spend millions of dollars to encourage citizens to participate in their campaigns; however, organizations’ mobilization effectiveness has been under question. This report uses a survey-based experiment (n = 6,290) to examine the extent to which a friend’s versus an organization’s endorsement affects people’s willingness to boycott chocolate because of the use of child labor. The survey data were gathered in autumn 2019 in the United States, United Kingdom, France, and Canada. We find that organizational endorsements are ineffective in influencing a subject’s willingness to participate in a boycott. Instead, prompts from friends increase the willingness to participate. Views about chocolate moderate the effectiveness of a friend’s endorsement of the boycott. The findings provide insight into the roles of organizations and interpersonal ties in mobilizing citizens to engage in political activities.
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 | 0.000 |
| 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