SEARCHING FOR MEANING IN LOSS: ARE CLINICAL ASSUMPTIONS CORRECT?
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
Three assumptions guiding research and clinical intervention strategies for people coping with sudden, traumatic loss are that (a) people confronting such losses inevitably search for meaning, (b) over time most are able to find meaning and put the issue aside, and (c) finding meaning is critical for adjustment or healing. We review existing empirical research that addresses these assumptions and present evidence from a study of 124 parents coping with the death of their infant and a study of 93 adults coping with the loss of their spouse or child to a motor vehicle accident. Results of these studies indicate that (a) a significant subset of individuals do not search for meaning and yet appear relatively well-adjusted to their loss; (b) less than half of the respondents in each of these samples report finding any meaning in their loss, even more than a year after the event; and (c) those who find meaning, although better adjusted than those who search but are unable to find meaning, do not put the issue of meaning aside and move on. Rather, they continue to pursue the issue of meaning as fervently as those who search but do not find meaning. Implications for both research and clinical intervention are discussed.
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 | 0.001 | 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 it