The Narrative Pursuit of Relational Wisdom
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
<p>Since the time of Aristotle, wisdom has played a key role in our attempt to understand the positive nature of human behavior. In the past decade, professionals in psychology and related fields have expanded their interest in the empirical and theoretical pursuit of wisdom. The relational dimension of wisdom and its narrative ecology have received less attention. This article integrates previous work on storied approaches to positive functioning in committed partnerships and proposes relational wisdom to be a master virtue of relationship development, one that can be cultivated across the lifespan of the partnership. The aspects of relational wisdom, such as self-reflection, attunement to self and other, the balance of conflicting partner aims, the interpretation of rules and principles in light of the uniqueness of each situation, and the capacity to learn from experience are identified and explored through the analysis of couple stories. Wisdom is seen to evolve through dialogue, and the resulting stories can serve as touchstones to what is most precious and vital in the relationship as well as guides for action through challenges and conflict.</p>
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 | 0.000 | 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) | 0.003 | 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