Trauma counselling: a comprehensive overview for undergraduate and graduate students
Bibliographic record
Abstract
Throughout the literature on trauma, various researchers have pointed out the necessity of incorporating trauma education into academic settings. The purpose of this project is to present a comprehensive overview of trauma counselling to undergraduate and graduate students. The twelve sections encompassing this project are the following: (1) What is trauma? (2) Posttraumatic Stress Disorder (PTSD) and symptomatology (3) Complex Trauma in adults and symptomatology (4) Complex Trauma in adolescents and children (5) Assessment of PTSD and Complex Trauma in adults, adolescents, and children (6) PTSD modes of treatments (7) Phases of treatment for PTSD and Complex Trauma (8) Culture and trauma (9) Historical Trauma (10) Intergenerational Trauma (11) Secondary Traumatic Stress, Vicarious Traumatization, and clinician self-care and (12) Coping strategies and Posttraumatic Growth. This project ideally will prepare future clinicians to effectively deal with trauma issues in their clinical work and, ultimately, to provide quality services to trauma survivors. --P.ii.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.012 | 0.007 |
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".