Topics in the historical sociolinguistics of Tejano Spanish, 1791--1910: Morphosyntactic and lexical aspects
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Trauma exposure is a precursor to a diagnosis of posttraumatic stress disorder (PTSD). A dearth of empirical evidence exists on the impact of different measurement practices on estimates of trauma exposure and PTSD within representative epidemiological samples. In the present study, we examined differences in reported trauma exposure and rates of PTSD using single, open-ended question versus list-based trauma assessments in a general community sample. Using data from the third wave of the Montreal epidemiological catchment area study (N = 1029), participants were interviewed in person by a lay interviewer about lifetime history of trauma exposure and PTSD. Prevalence rates of trauma exposure and PTSD diagnosis using single, open-ended question and list-based assessment were compared using a within-subject design. A single, open-ended question versus list-based trauma assessment yielded trauma-exposure rates of 61%, 95% CI [57.8, 63.8] and 78%, 95% CI [75.2, 80.3], respectively. Conditional rates of lifetime PTSD decreased from 6.7%, 95% CI [5.8, 9.4] to 6%, 95% CI [4.4, 7.7], respectively. Increases in trauma exposure were more pronounced in women (33.7%) than men (21.5%), as well as in the younger stratum of study participants (15-24 years old; 36.1%). Underestimation of PTSD using a single, open-ended question assessment was minimal, although all missing cases were women. Our results lend support to the importance of using comprehensive assessments of exposure to potentially traumatic events when conducting epidemiological research, especially when reporting conditional rates of PTSD. Previous research may have underestimated the prevalence of trauma exposure, particularly among young women. (PsycINFO Database Record
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.003 | 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 it