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
Integrating psychological and philosophical research on virtue and moral development, this book presents a real-world program for virtue science. Offering empirically testable hypotheses, the chapters deliver theoretical and methodological guidance that shows how existing research can become a cohesive and truly interdisciplinary science of virtue. The authors' unique 'STRIVE-4 Model' defines a unifying conceptual framework, making the book an indispensable resource for a new generation of scholars and students. This empirically tested model provides the much-needed foundation that can put to rest traditional worries about moral science. While mapping out the relevant areas of psychology and value-focused inquiry, the book lays out an interdisciplinary approach to many questions, including the problem of knowledge about character. Written for those researching virtue drawing on personality, developmental, moral, and positive psychology, as well as moral philosophy and character education, the book demonstrates the importance and applications of studying virtues empirically.
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 | 0.001 | 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 | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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