Understanding the Psychological Impact of Oppression Using the Trauma Symptoms of Discrimination Scale
Bibliographic record
Abstract
Oppression refers to systemic discrimination where the injustice targets or disproportionately impacts specific groups of people. The Trauma Symptoms of Discrimination Scale (TSDS) is a self-report measure designed to assess the traumatizing impact of discrimination broadly by measuring anxiety-related symptoms of trauma due to discriminatory experiences. This may include symptoms arising from racism, homophobia, sexism, poverty, or other forms of marginalization. Almost all studies of the TSDS have examined its use in marginalized ethnoracial groups, primarily African Americans. This paper will extend prior work to help us better understand racial trauma across groups by reporting and comparing TSDS mean scores across ethnoracial identities in a diverse national sample (n = 923). It also explores trauma with other marginalized identities and demographic dimensions, including gender, sexual minority/LGBQ status, education, and income. The relationship of TSDS scores to clinical psychopathologies are examined, including stress, depression, anxiety, and PTSD. We also examine the unique risks associated with intersectionality, and how having multiple marginalized identities may increase traumatization. Clinical implications and future directions are discussed.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".