The catcher in the mind: validation of the brief-mentalized affectivity scale for adolescents in the Italian population
Bibliographic record
Abstract
The concept of mentalized affectivity (MA) encompasses the dimensions of identifying, processing, and expressing emotions and describes the process of making sense of and reevaluating one's affects in light of autobiographical memory. This construct was developed within the theoretical framework of mentalization and, due to its interpersonal nature, added further complexity to the emotion regulation construct. This research aimed to examine the factor structure and psychometric properties of the Brief-Mentalized Affectivity Scale for adolescents (B-MAS-A) on an Italian sample of young people (aged 13-19 years). Data were collected using non-probabilistic sampling and an online survey. Participants were asked to complete a large battery of instruments, including the B-MAS-A, the Toronto Alexithymia Scale, the Reflective Functioning Questionnaire, the Epistemic Trust, Mistrust, and Credulity Questionnaire, the Strengths and Difficulties Questionnaire, and the General Self-Efficacy Scale. In study 1, factor analyses carried out on a total sample of 566 adolescents identified 3 distinct dimensions of the same components of MA found in the adult population: i) identifying; ii) processing; iii) expressing emotions. The subscales showed excellent internal consistency. Study 2 (involving a subsample of 288 participants) demonstrated good levels of construct and criterion validity. These results confirm that the B-MAS-A represents a valid and robust instrument for assessing the complex and multifaceted characteristics of MA in adolescents. The B-MAS-A can make a significant contribution to clinical practice and research and encourage systematic studies on MA in psychotherapy, taking into account the developmental stage of adolescence.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".