Mentalization in adult attachment narratives: Reflective functioning, mental states, and affect elaboration compared.
Bibliographic record
Abstract
Relationships between three measures of mentalization (reflective function, mental states, and verbal elaboration of affect), attachment status, and the severity of axis I and axis II pathology were examined. Seventy-three adults, both ex-psychiatric patients and nonclinical volunteers were administered the Adult Attachment Interview (AAI). Comparisons between the three measures indicate that they share some aspect of a core mentalization process and that each illuminates a specific component. Reflective function was the only predictor of attachment status. The number of axis I diagnoses is partly explained by attachment insecurity, but the capacity to generate high-level defensive mental states as well as increments in verbal affect elaboration further contribute to the model. Finally, increments in affect elaboration, as well as augmentations in high-level defensive activity and reflective function are all associated with decreases in the number of axis II diagnoses, over and above the contribution of attachment status and axis I pathology.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.010 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".