Alexithymia and Dyadic Adjustment in Intimate Relationships: Analyses Using the Actor Partner Interdependence Model
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
Difficulty identifying and expressing emotions (alexithymia) can have consequences on the physical health and the psychological well-being of an individual. The few studies exploring the impact of alexithymia on intimate relationships use statistical methods that are not specific for dyadic data analyses. This study aims to investigate the link between alexithymia and dyadic adjustment in individuals and their partner and to compare traditional statistical strategies to the Actor Partner Interdependence Model (APIM). Eighty-four couples completed questionnaires including a measure of alexithymia (Toronto Alexithymia Scale; TAS) and a measure of dyadic adjustment (Dyadic Adjustment Scale; DAS). Analyses show that results are slightly different for the two statistical methods. Following the APIM, alexithymia is negatively related to dyadic adjustment for both men and women. In addition, men's alexithymia is negatively related to the dyadic adjustment of their partner. However, alexithymia in women does not seem to be related to their partners' dyadic adjustment. The results are discussed in light of social norms, gender differences, and the specific need in women for disclosure and intimacy.
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) | 0.000 | 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