Alexithymia and Self Differentiation: The Role of Fear of Intimacy and Insecure Adult Attachment
Bibliographic record
Abstract
Abstract It is suggested in literature that there is a link between Alexithymia and Self-Differentiation; however, little is known about possible mediation factors. The goal of this work is to test in a non-clinical population of adults the mediation role of Fear of Intimacy and Adult Attachment in the relationship between Alexithymia and Self-Differentiation. A sample of 258 participants self identified as gay or lesbian, aged 20–50 years (M: 30.29; SD: 7.27), 45% of whom were males, completed self-reported measures of Alexithymia (TAS-20), Self-Differentiation (SDI), Fear of Intimacy (FIS); and Insecure Adult Attachment (RAAS). Our results show that Alexithymia predicts Self-Differentiation both directly and indirectly, through Fear of Intimacy and Insecure adult attachment. In addition, Fear of Intimacy directly influences Self-Differentiation, and also mediates the relationship between Alexithymia and Adult Attachment which, in turn, negatively predicts Self-Differentiation. In conclusion, Alexithymia predicts Self-Differentiation while Fear of Intimacy and adult attachment may act as mediators of the report. Limitations of the study and directions of future research are described.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".