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
Resistance and Persuasion is the first book to analyze the nature of resistance and demonstrate how it can be reduced, overcome, or used to promote persuasion. By examining resistance, and providing strategies for overcoming it, this new book generates insight into new facets of influence and persuasion. With contributions from the leaders in the field, this book presents original ideas and research that demonstrate how understanding resistance can improve persuasion, compliance, and social influence. Many of the authors present their research for the first time. Four faces of resistance are identified: reactance, distrust, scrutiny, and inertia. The concluding chapter summarizes the book's theoretical contributions and establishes a resistance-based research agenda for persuasion and attitude change. This new book helps to establish resistance as a legitimate sub-field of persuasion that is equal in force to influence. Resistance and Persuasion offers many new revelations about persuasion: *Acknowledging resistance helps to reduce it. *Raising reactance makes a strong message more persuasive. *Putting arguments into a narrative increases their influence. *Identifying illegitimate sources of information strengthens the influence of legitimate sources. *Looking ahead reduces resistance to persuasive attempts. This volume will appeal to researchers and students from a variety of disciplines including social, cognitive, and health psychology, communication, marketing, political science, journalism, and education.
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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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