Development and Validation of the Schedule for Nonadaptive and Adaptive Personality Brief Self-Description Rating Form (SNAP-BSRF)
Bibliographic record
Abstract
The Schedule for Nonadaptive and Adaptive Personality full-length (SNAP) and short versions (SNAP-SRF and SNAP-ORF) were developed as measures of normal-range and more pathological personality traits. This study investigated the validity of the SNAP Brief Self-Description Rating Form (SNAP-BSRF), an alternative version of the SNAP Self-Description Rating Form (SNAP-SRF) revised for further brevity. The scales of the SNAP-BSRF showed good convergence with the SNAP-SRF and the SNAP Other-Description Rating Form (SNAP-ORF) scales. A three-factor structure consistent with extant literature was found for the SNAP-BSRF using an exploratory structural equation modeling approach. Scales from the SNAP-BSRF showed meaningful associations with self-reported internalizing symptoms. Results suggest that this new version is a reasonable substitute for the SNAP-SRF and will be useful when a very brief measure of adaptive and maladaptive personality is needed.
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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 | 0.013 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".