A Parent's Tears: Primary Results from the Traumatic Experiences and Resiliency Study
Bibliographic record
Abstract
This study examined health/mental health status, family functioning, and resiliency among a sample of bereaved parents (N = 503). Participants were recruited from an online support community to complete an online survey instrument (response rate = 51.75%). The questionnaire contained an array of self-report instruments, such as the Hopkins Symptoms Checklist-25 (HSCL-25), the Impact of Event Scale-Revised (IES-R), and the Family Assessment Device (FAD), as well as open-ended questions. Many respondents scored over the clinical cut-off for the HSCL-25 (51.3%, n = 258) and IES-R (42.3%, n = 213). IES-R scores were negatively correlated with years-since loss (r = -0.24, p < .05). In narrative responses, participants described a wide range of deeply impactful mental and physical health problems. The results indicate significant clinical distress in this sample of bereaved parents, with many reporting enduring psychological, familial, and health consequences following the death of a child.
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 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 | 0.001 | 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) | 0.000 | 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 teacher head, 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".