Bibliographic record
Abstract
Abstract Surveying 60 Vietnamese patients with either current or past post-traumatic stress disorder, this article aims to phenomenologically char-acterize the syndrome of ‘hit by the wind ’ in a multidimensional manner. This includes determining the patient conceptualization of the disorder, profiling ‘hit by the wind ’ episodes suffered by patients in the previous month, and presenting case vignettes. Eighteen of the 60 patients (30%) suffered at least one episode of ‘hit by the wind ’ in the last month; all 18 patients had at least one episode of ‘hit by the wind ’ in the last month that met panic attack criteria. For the 18 patients, 33 episodes of ‘hit by the wind’ that met panic attack criteria were experienced in the previous month. For these 33 episodes, the most frequently reported DSM-IV panic attack symptoms were chills (100%; 33/33) and dizziness (88%; 29/33). Flashbacks played a role in the ‘hit by the wind ’ episodes for 5 of the 18 patients (28%). In the discussion, a model of how the syndrome of ‘hit by the wind’ Vol 40(3): 342–376[1363–4615(200309)40:3;342–376;035636] Copyright © 2003 McGill University transcultural psychiatry
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.732 | 0.527 |
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".