Laypersons' expectation of the sequelae of whiplash injury. A cross-cultural comparative study between Canada and Lithuania.
Bibliographic record
Abstract
BACKGROUND: The objective of the present study is to compare the frequency and nature of expected 'whiplash' symptoms in Lithuania (a country where the late whiplash syndrome is rare or unknown) with that in Canada. MATERIAL/METHODS: A symptom checklist was administered to 2 subject groups selected from local companies in Kaunas, Lithuania, and Edmonton, Canada, respectively. Subjects were asked to imagine having suffered a neck sprain (whiplash injury) with no loss of consciousness in a motor vehicle accident, and to check which, of a variety of symptoms, they would expect might arise from the injury. For symptoms they anticipated, they were asked to select the period of time they expected those symptoms to persist. RESULTS: In both the Lithuanian and Edmontonian groups, the pattern of symptoms anticipated closely resembled the acute symptoms commonly reported by accident victims with acute neck sprain, but while up to 50% of Edmontonians also anticipated symptoms to last months or years, very few Lithuanian subjects selected any symptoms as likely to persist. CONCLUSIONS: In Lithuania, despite the documented occurrence of neck sprain symptoms in some 50% of individuals following motor vehicle accidents, there is a very low rate of expectation of any sequelae from this injury. What current or previous aspects of society that underlie this remain uncertain. This lack of expectation of chronicity in Lithuania may, in part, determine the low prevalence of the late whiplash syndrome there. Further studies of symptom expectation as an etiologic factor in the late whiplash syndrome are needed.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".