Words Are All I Have: Linguistic Cues as Predictors of Settlement in Divorce Mediation
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
What we say conveys information about how we perceived our relationships with others. In this research, we draw on Relational Order Theory (ROT) to analyze how words associated with affiliation (liking) affect the outcome of child custody mediations. We found that two indicators of relational distance—pronouns and the expression of emotions—were associated with agreement. In successful mediations, disputants decreased their use of third person pronouns, negative emotions and anger over time. The differential use of I by husbands and wives affected agreements, which were more likely if wives used I frequently in the first quarter of the mediation. Convergence to wives positive emotions also affected outcomes: agreement was reached when husbands converged to wives high levels of positive emotion, whereas impasses occurred when husbands converged to wives low levels of positive emotion. We discuss implications for extending ROT and for the practice of mediation.
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) | 0.001 | 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