Psychometric Properties of the Brazilian Portuguese Version of the Circumplex Scales of Interpersonal Problems (CSIP)
Bibliographic record
Abstract
Abstract. The Circumplex Scales of Interpersonal Problems (CSIP) was developed in American English to assess maladaptive variants of the interpersonal circumplex. In this article, we describe the psychometric properties and construct validity of a Brazilian Portuguese version of the CSIP using data from two samples of Brazilian adults. The results from exploratory and confirmatory structural analyses indicated strong support for a circumplex representation of the CSIP in both samples. Scores on the CSIP converged with the Brazilian Portuguese version of the Checklist of Interpersonal Transactions – Revised and demonstrated test–retest stability over 8 months. Taken as a whole, the results extend support for the circumplex structure, construct validity, and retest reliability of the CSIP and indicate that the Brazilian Portuguese translation is psychometrically adequate to investigate interpersonal problems in Brazilian populations.
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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 | 0.006 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".