Defense Mechanisms and Major Depressive Disorder in African American Women
Bibliographic record
Abstract
This study explored differences in defense use between a group of predominantly African American women diagnosed with Major Depressive Disorder (MDD; n = 20) and a healthy control sample (n = 20), both from a primary care medical clinic. Patients completed the Patient Health Questionnaire to assess DSM-IV diagnoses and underwent video-recorded interviews, which were assessed for defenses using the Defensive Functioning Scale from the DSM-IV. Groups were compared for differences in overall defensive functioning, defense levels, and individual defenses using independent samples t tests. Results showed that the MDD group scored higher on mental inhibition, minor image distorting, and major image distorting defense levels as well as the individual defenses devaluation, dissociation, and isolation. The control group scored higher on the overall defensive functioning and the individual defense anticipation. The results also showed a trend toward the MDD group scoring higher on the disavowal defense level and the individual defense splitting.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".