External correlates of the <i>SPECTRA</i>: Indices of psychopathology (<i>SPECTRA</i>) in a clinical sample
Bibliographic record
Abstract
The SPECTRA: Indices of Psychopathology is a broadband assessment inventory compatible with contemporary hierarchical models of psychopathology (internalizing, externalizing, reality impairing dimensions and global psychopathology factor). This study explored the SPECTRA's construct validity using a wide range of life event (extra-test) variables in a clinical sample. The life event variables included the following: education level, school failure, childhood adversity, suicide attempts, psychiatric hospitalizations, depression, psychotic symptoms, self-injury, substance abuse, arrests, physical violence, marital status, employment status and current medications. Results showed that all SPECTRA clinical scales had significant life event correlations. For the higher-order Spectra scales, the global index of psychopathology had the greatest number and range of life event correlations. Correlations for the externalizing and reality impairing Spectra scales provided solid validity evidence, while correlations for the internalizing Spectra scale were more diffuse. These findings provide the first non-test-based evidence of construct validity for the SPECTRA.
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How this classification was reachedexpand
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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 teacher head, 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".